change chat gpt provider (#12)

.github/workflows/poetry-test.yml

@@ -67,7 +67,11 @@ jobs:
         run: |
           cp bot_microservice/settings/.env.ci.runtests bot_microservice/settings/.env
           docker compose run bot poetry run bash -c "coverage run -m pytest -vv --exitfirst && poetry run coverage report"
+      #----------------------------------------------
+      #              check dependencies
+      #----------------------------------------------
       - name: Extended checks
+        continue-on-error: true
         run: |
           poetry run poetry check
           poetry run pip check

Makefile

@@ -37,12 +37,15 @@ lint-typing:
 lint-complexity:
 	flake8 $(PY_TARGET_DIRS)
 
-## Запустить все линтеры
-lint: lint-typing lint-complexity check-import-sorting
-
 ## Проверить зависимостей
 lint-deps:
-	safety check --full-report && pip-audit
+	poetry run poetry check
+	poetry run pip check
+	poetry run safety check --full-report
+	poetry run pip-audit
+
+## Запустить все линтеры
+lint: lint-typing lint-complexity check-import-sorting lint-deps
 
 ## Show help
 help:

bot_microservice/api/bot/controllers.py

@@ -1,10 +1,9 @@
 from fastapi import APIRouter, Request
-from settings.config import get_settings
+from settings.config import settings
 from starlette import status
 from starlette.responses import Response
 
 router = APIRouter()
-settings = get_settings()
 
 
 @router.post(

bot_microservice/constants.py

@@ -3,7 +3,7 @@ from enum import StrEnum
 AUDIO_SEGMENT_DURATION = 120 * 1000
 
 API_PREFIX = "/api"
-CHAT_GPT_BASE_URL = "http://chat_service:1338/backend-api/v2/conversation"
+CHAT_GPT_BASE_URL = "http://chat_service:8858/backend-api/v2/conversation"
 
 
 class LogLevelEnum(StrEnum):

bot_microservice/core/commands.py

@@ -8,6 +8,7 @@ from constants import CHAT_GPT_BASE_URL
 from core.utils import SpeechToTextService
 from httpx import AsyncClient, AsyncHTTPTransport
 from loguru import logger
+from settings.config import settings
 from telegram import Update
 from telegram.ext import ContextTypes
 
@@ -33,7 +34,7 @@ async def ask_question(update: Update, context: ContextTypes.DEFAULT_TYPE) -> No
     chat_gpt_request = {
         "conversation_id": str(uuid4()),
         "action": "_ask",
-        "model": "gpt-3.5-turbo",
+        "model": settings.GPT_MODEL,
         "jailbreak": "default",
         "meta": {
             "id": random.randint(10**18, 10**19 - 1),  # noqa: S311

bot_microservice/core/logging.py

@@ -6,7 +6,7 @@ from typing import TYPE_CHECKING, Any, cast
 from constants import LogLevelEnum
 from loguru import logger
 from sentry_sdk.integrations.logging import EventHandler
-from settings.config import get_settings
+from settings.config import settings
 
 if TYPE_CHECKING:
     from loguru import Record
@@ -14,9 +14,6 @@ else:
     Record = dict[str, Any]
 
 
-settings = get_settings()
-
-
 class InterceptHandler(logging.Handler):
     def emit(self, record: logging.LogRecord) -> None:
         # Get corresponding Loguru level if it exists

bot_microservice/routers.py

@@ -2,9 +2,7 @@ from api.bot.controllers import router as bot_router
 from api.system.controllers import router as system_router
 from fastapi import APIRouter
 from fastapi.responses import ORJSONResponse
-from settings.config import get_settings
+from settings.config import settings
-
-settings = get_settings()
 
 api_router = APIRouter(
     prefix=settings.api_prefix,

bot_microservice/settings/config.py

@@ -47,6 +47,7 @@ class AppSettings(SentrySettings, BaseSettings):
     DOMAIN: str = "https://localhost"
     URL_PREFIX: str = ""
 
+    GPT_MODEL: str = "gpt-3.5-turbo-stream-AItianhuSpace"
     # quantity of workers for uvicorn
     WORKERS_COUNT: int = 1
     # Enable uvicorn reloading
@@ -74,3 +75,6 @@ class AppSettings(SentrySettings, BaseSettings):
 
 def get_settings() -> AppSettings:
     return AppSettings()
+
+
+settings = get_settings()

chat_gpt_microservice/.clang-format

@@ -0,0 +1,101 @@
+---
+Language:        Cpp
+# BasedOnStyle:  Google
+AccessModifierOffset: -4
+AlignAfterOpenBracket: Align
+AlignConsecutiveAssignments: false
+AlignConsecutiveDeclarations: false
+AlignEscapedNewlinesLeft: true
+AlignOperands:   true
+AlignTrailingComments: true
+AllowAllParametersOfDeclarationOnNextLine: true
+AllowShortBlocksOnASingleLine: false
+AllowShortCaseLabelsOnASingleLine: false
+AllowShortFunctionsOnASingleLine: All
+AllowShortIfStatementsOnASingleLine: false
+AllowShortLoopsOnASingleLine: false
+AlwaysBreakAfterDefinitionReturnType: None
+AlwaysBreakAfterReturnType: None
+AlwaysBreakBeforeMultilineStrings: true
+AlwaysBreakTemplateDeclarations: true
+BinPackArguments: true
+BinPackParameters: true
+BraceWrapping:   
+  AfterClass:      false
+  AfterControlStatement: false
+  AfterEnum:       false
+  AfterFunction:   false
+  AfterNamespace:  false
+  AfterObjCDeclaration: false
+  AfterStruct:     false
+  AfterUnion:      false
+  BeforeCatch:     false
+  BeforeElse:      false
+  IndentBraces:    false
+BreakBeforeBinaryOperators: None
+BreakBeforeBraces: Attach
+BreakBeforeTernaryOperators: true
+BreakConstructorInitializersBeforeComma: false
+BreakAfterJavaFieldAnnotations: false
+BreakStringLiterals: true
+ColumnLimit:     119
+CommentPragmas:  '^ IWYU pragma:'
+ConstructorInitializerAllOnOneLineOrOnePerLine: true
+ConstructorInitializerIndentWidth: 4
+ContinuationIndentWidth: 4
+Cpp11BracedListStyle: true
+DerivePointerAlignment: true
+DisableFormat:   false
+ExperimentalAutoDetectBinPacking: false
+ForEachMacros:   [ foreach, Q_FOREACH, BOOST_FOREACH ]
+IncludeCategories: 
+  - Regex:           '^<.*\.h>'
+    Priority:        1
+  - Regex:           '^<.*'
+    Priority:        2
+  - Regex:           '.*'
+    Priority:        3
+IncludeIsMainRegex: '([-_](test|unittest))?$'
+IndentCaseLabels: true
+IndentWidth:     4
+IndentWrappedFunctionNames: false
+JavaScriptQuotes: Leave
+JavaScriptWrapImports: true
+KeepEmptyLinesAtTheStartOfBlocks: false
+MacroBlockBegin: ''
+MacroBlockEnd:   ''
+MaxEmptyLinesToKeep: 1
+NamespaceIndentation: None
+ObjCBlockIndentWidth: 4
+ObjCSpaceAfterProperty: false
+ObjCSpaceBeforeProtocolList: false
+PenaltyBreakBeforeFirstCallParameter: 1
+PenaltyBreakComment: 300
+PenaltyBreakFirstLessLess: 120
+PenaltyBreakString: 1000
+PenaltyExcessCharacter: 1000000
+PenaltyReturnTypeOnItsOwnLine: 200
+PointerAlignment: Left
+ReflowComments:  true
+SortIncludes:    true
+SpaceAfterCStyleCast: false
+SpaceBeforeAssignmentOperators: true
+SpaceBeforeParens: ControlStatements
+SpaceInEmptyParentheses: false
+SpacesBeforeTrailingComments: 2
+SpacesInAngles:  false
+SpacesInContainerLiterals: true
+SpacesInCStyleCastParentheses: false
+SpacesInParentheses: false
+SpacesInSquareBrackets: false
+Standard:        c++20
+TabWidth:        8
+UseTab:          Never
+...
+
+---
+Language: JavaScript
+DisableFormat: true
+---
+Language: Json
+DisableFormat: true

chat_gpt_microservice/.github/workflows/ubuntu-gcc13.yaml

@@ -0,0 +1,69 @@
+name: ubuntu-gcc13
+
+on:
+  push:
+    branches: ["main", "dev"]
+  pull_request:
+    branches: ["main"]
+
+jobs:
+  build:
+    runs-on: ${{ matrix.os }}
+
+    strategy:
+      matrix:
+        os: [ubuntu-22.04]
+
+    steps:
+      - name: Installation
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y libgl1-mesa-dev libglu1-mesa-dev p7zip gobjc g++-13 wget sudo libcurl4-openssl-dev libnss3 nss-plugin-pem ca-certificates
+          wget https://github.com/lwthiker/curl-impersonate/releases/download/v0.5.4/libcurl-impersonate-v0.5.4.x86_64-linux-gnu.tar.gz
+          sudo mv libcurl-impersonate-v0.5.4.x86_64-linux-gnu.tar.gz /usr/lib64
+          cd /usr/lib64
+          sudo tar -xvf libcurl-impersonate-v0.5.4.x86_64-linux-gnu.tar.gz
+          cd -
+          wget https://github.com/xmake-io/xmake/releases/download/v2.8.2/xmake-v2.8.2.xz.run
+          chmod 777 xmake-v2.8.2.xz.run
+          ./xmake-v2.8.2.xz.run > a.txt
+
+      - name: checkout
+        uses: actions/checkout@v3
+      - name: build
+        run: |
+          export XMAKE_ROOT="y"
+          source ~/.xmake/profile
+          g++-13 -v
+          export LD_LIBRARY_PATH=/usr/lib64:$LD_LIBRARY_PATH
+          export LIBRARY_PATH=/usr/lib64:$LIBRARY_PATH
+          export CXX=g++-13
+          export CC=gcc-13
+          xmake build -y
+          xmake install -o .
+          ldd ./bin/cpp-freegpt-webui
+
+      - name: Docker login
+        if: github.ref_name == 'dev' || github.ref_name == 'main'
+        uses: docker/login-action@v1
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_PASSWORD }}
+
+      - name: Build the Docker image to dev
+        if: github.ref_name == 'dev'
+        run: |
+          docker build . -t ${{ secrets.DOCKERHUB_USERNAME }}/freegpt:dev
+
+      - name: Build the Docker image to main
+        if: github.ref_name == 'main'
+        run: |
+          docker build . -t ${{ secrets.DOCKERHUB_USERNAME }}/freegpt:latest
+
+      - name: Docker image push to dev
+        if: github.ref_name == 'dev'
+        run: docker push ${{ secrets.DOCKERHUB_USERNAME }}/freegpt:dev
+
+      - name: Docker image push main
+        if: github.ref_name == 'main'
+        run: docker push ${{ secrets.DOCKERHUB_USERNAME }}/freegpt:latest

chat_gpt_microservice/Dockerfile

@@ -0,0 +1,28 @@
+FROM ubuntu:23.04
+
+#use --build-arg LIB_DIR=/usr/lib for arm64 cpus
+ARG LIB_DIR=/usr/lib64
+
+ENV LD_LIBRARY_PATH=$LIB_DIR:$LD_LIBRARY_PATH
+ENV LIBRARY_PATH=$LIB_DIR:$LIBRARY_PATH
+
+RUN apt-get update -y
+RUN apt-get install -y libcurl4-openssl-dev wget libnss3 nss-plugin-pem ca-certificates
+# RUN strings /lib/$(arch)-linux-gnu/libstdc++.so.6 | grep GLIBCXX_3.4
+
+RUN wget https://github.com/lwthiker/curl-impersonate/releases/download/v0.5.4/libcurl-impersonate-v0.5.4.$(arch)-linux-gnu.tar.gz
+RUN mv libcurl-impersonate-v0.5.4.$(arch)-linux-gnu.tar.gz $LIB_DIR
+RUN cd $LIB_DIR && tar -xvf libcurl-impersonate-v0.5.4.$(arch)-linux-gnu.tar.gz && rm -rf libcurl-impersonate-v0.5.4.$(arch)-linux-gnu.tar.gz
+
+WORKDIR /app
+
+ADD bin /app/bin
+ADD cfg /app/cfg
+ADD client /app/client
+
+RUN ls /app/bin
+RUN ls /app/cfg
+
+WORKDIR /app/bin
+
+ENTRYPOINT ["sh", "-c", "./cpp-freegpt-webui ../cfg/cpp-free-gpt.yml"]

chat_gpt_microservice/LICENSE

@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
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+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
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+price.  Our General Public Licenses are designed to make sure that you
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chat_gpt_microservice/README.md

@@ -1,157 +1,89 @@
-# FreeGPT WebUI 
+# Cpp FreeGPT WebUI
-
-## Build
-```bash
-docker build -t balsh_chat_gpt --network=host .
-```
-
 
 ## GPT 3.5/4
 
-<strong>NOT REQUIRE ANY API KEY</strong> ❌🔑 
+<strong>NOT REQUIRE ANY API KEY</strong> ❌🔑
 
 This project features a WebUI utilizing the [G4F API](https://github.com/xtekky/gpt4free). <br>
 Experience the power of ChatGPT with a user-friendly interface, enhanced jailbreaks, and completely free.
 
-## Known bugs 🚧
-- Stream mode not working properly.
-
-## News 📢
-I have created a new version of FreeGPT WebUI using the [ChimeraGPT API](https://chimeragpt.adventblocks.cc/). 
-<br>
-<br>
-This free API allows you to use various AI chat models, including <strong>GPT-4, GPT-4-32k, llama-2 and more.</strong> <br>
-Check out the project here: [FreeGPT WebUI - Chimera Version](https://github.com/ramonvc/freegpt-webui/tree/chimeragpt-version).
-
-## Project Hosting and Demonstration 🌐🚀
-The project is hosted on multiple platforms to be tested and modified.
-|Platform|Status|API Key|Free|Repo|Demo|
-|--|--|--|--|--|--|
-|[replit](https://replit.com/)|![Active](https://img.shields.io/badge/Active-brightgreen)|◼️|☑️|[FreeGPT WebUI](https://replit.com/@ramonvc/freegpt-webui)|[Chat](https://freegpt-webui.ramonvc.repl.co/chat/)
-|[hugging face](https://huggingface.co)|![Active](https://img.shields.io/badge/Active-brightgreen)|◼️|☑️|[FreeGPT WebUI](https://huggingface.co/spaces/monra/freegpt-webui/tree/main)|[Chat](https://huggingface.co/spaces/monra/freegpt-webui)
-|[replit](https://replit.com/)|![Active](https://img.shields.io/badge/Active-brightgreen)|☑️|☑️|[FreeGPT WebUI - Chimera Version](https://replit.com/@ramonvc/freegpt-webui-chimera)|[Chat](https://freegpt-webui-chimera.ramonvc.repl.co/chat/)
-|[hugging face](https://huggingface.co)|![Active](https://img.shields.io/badge/Active-brightgreen)|☑️|☑️|[FreeGPT WebUI - Chimera Version](https://huggingface.co/spaces/monra/freegpt-webui-chimera/tree/main)|[Chat](https://huggingface.co/spaces/monra/freegpt-webui-chimera)
-
-## Note ℹ️ 
-<p>
-  FreeGPT is a project that utilizes various free AI conversation API Providers. Each Provider is an API that provides responses generated by different AI models. The source code related to these services is available in <a href="https://github.com/ramonvc/freegpt-webui/tree/main/g4f">G4F folder</a>.
-
-It is important to note that, due to the extensive reach of this project, the free services registered here may receive a significant number of requests, which can result in temporary unavailability or access limitations. Therefore, it is common to encounter these services being offline or unstable.
-
-We recommend that you search for your own Providers and add them to your personal projects to avoid service instability and unavailability. Within the project, in the <a href="https://github.com/ramonvc/freegpt-webui/tree/main/g4f/Provider/Providers">Providers folder</a>, you will find several examples of Providers that have worked in the past or are still functioning. It is easy to follow the logic of these examples to find free GPT services and incorporate the requests into your specific FreeGPT project.
-
-Please note that the choice and integration of additional Providers are the user's responsibility and are not directly related to the FreeGPT project, as the project serves as an example of how to combine the <a href="https://github.com/xtekky/gpt4free">G4F API</a> with a web interface.
-</p>
-
-## Table of Contents  
-- [To-Do List](#to-do-list-%EF%B8%8F)  
-- [Getting Started](#getting-started-white_check_mark)  
-  - [Cloning the Repository](#cloning-the-repository-inbox_tray)  
-  - [Install Dependencies](#install-dependencies-wrench)  
-- [Running the Application](#running-the-application-rocket)  
-- [Docker](#docker-)  
-  - [Prerequisites](#prerequisites)  
-  - [Running the Docker](#running-the-docker)
-- [Incorporated Projects](#incorporated-projects-busts_in_silhouette)
-  - [WebUI](#webui) 
-  - [API FreeGPT](#api-g4f)
-- [Star History](#star-history)
-- [Legal Notice](#legal-notice) 
-
-##
-
-## To-Do List ✔️
-
-- [x] Integrate the free GPT API into the WebUI
-- [x] Create Docker support
-- [x] Improve the Jailbreak functionality
-- [x] Add the GPT-4 model
-- [x] Enhance the user interface
-- [ ] Check status of API Providers (online/offline)
-- [ ] Enable editing and creating Jailbreaks/Roles in the WebUI
-- [ ] Refactor web client
-
 ## Getting Started :white_check_mark:  
-To get started with this project, you'll need to clone the repository and have [Python](https://www.python.org/downloads/) installed on your system.  
+To get started with this project, you'll need to clone the repository and have g++ >= 13.1 installed on your system.
   
 ### Cloning the Repository :inbox_tray:
 Run the following command to clone the repository:  
 
 ```
-git clone https://github.com/ramonvc/freegpt-webui.git
+git clone https://github.com/fantasy-peak/cpp-freegpt-webui.git
 ```
 
-### Install Dependencies :wrench: 
+## Compile And Running the Application :rocket:
-Navigate to the project directory:
-```
-cd freegpt-webui
-```
-
-Install the dependencies:
-```
-pip install -r requirements.txt
-```
-## Running the Application :rocket:
 To run the application, run the following command:
+
 ```
-python run.py
+1. Check local g++ version, need g++ version >= gcc version 13.1.0 (GCC)
+
+2. install xmake
+wget https://github.com/xmake-io/xmake/releases/download/v2.8.2/xmake-v2.8.2.xz.run
+chmod 777 xmake-v2.8.2.xz.run
+./xmake-v2.8.2.xz.run
+source ~/.xmake/profile
+
+3. install libcurl-impersonate, ubuntu (apt-get install libcurl4-openssl-dev) centos7 (yum install libcurl-devel.x86_64)
+wget https://github.com/lwthiker/curl-impersonate/releases/download/v0.5.4/libcurl-impersonate-v0.5.4.x86_64-linux-gnu.tar.gz
+sudo mv libcurl-impersonate-v0.5.4.x86_64-linux-gnu.tar.gz /usr/lib64
+cd /usr/lib64
+sudo tar -xvf libcurl-impersonate-v0.5.4.x86_64-linux-gnu.tar.gz
+export LD_LIBRARY_PATH=/usr/lib64:$LD_LIBRARY_PATH
+export LIBRARY_PATH=/usr/lib64:$LIBRARY_PATH
+
+4. Compiling
+git clone https://github.com/fantasy-peak/cpp-freegpt-webui.git
+cd cpp-freegpt-webui
+xmake build -v
+xmake install -o .
+cd bin
+./cpp-freegpt-webui ../cfg/cpp-free-gpt.yml
 ```
 
 Access the application in your browser using the URL:
 ```
-http://127.0.0.1:1338
+http://127.0.0.1:8858/chat
 ```
-or
-```
-http://localhost:1338
-```
-
-
-## Docker 🐳
-### Prerequisites
-Before you start, make sure you have installed [Docker](https://www.docker.com/get-started) on your machine.
 
 ### Running the Docker
 Pull the Docker image from Docker Hub:
 ```
-docker pull ramonvc/freegpt-webui
+docker pull fantasypeak/freegpt:latest
 ```
 
 Run the application using Docker:
 ```
-docker run -p 1338:1338 ramonvc/freegpt-webui
+docker run --net=host -it --name freegpt fantasypeak/freegpt:latest
+// OR
+docker run -p 8858:8858 -it --name freegpt fantasypeak/freegpt:latest
+// use http_proxy
+docker run -p 8858:8858 -it --name freegpt -e HTTP_PROXY=http://127.0.0.1:8080 -e CHAT_PATH=/chat fantasypeak/freegpt:latest
+// set active providers
+docker run -p 8858:8858 -it --name freegpt -e CHAT_PATH=/chat -e PROVIDERS="[\"gpt-4-ChatgptAi\",\"gpt-3.5-turbo-stream-DeepAi\"]" fantasypeak/freegpt:latest
+// enable ip white list function
+docker run -p 8858:8858 -it --name freegpt -e IP_WHITE_LIST="[\"127.0.0.1\",\"192.168.1.1\"]" fantasypeak/freegpt:latest
 ```
 
-Access the application in your browser using the URL:
+### Call OpenAi Api
 ```
-http://127.0.0.1:1338
+// It supports calling OpenAI's API, but need set API_KEY
+docker run -p 8858:8858 -it --name freegpt -e CHAT_PATH=/chat -e API_KEY=a40f22f2-c1a2-4b1d-a47f-55ae1a7ddbed fantasypeak/freegpt:latest
 ```
-or
-```
-http://localhost:1338
-```
-
-When you're done using the application, stop the Docker containers using the following command:
-```
-docker stop <container-id>
-```
-
-## Incorporated Projects :busts_in_silhouette:
-I highly recommend visiting and supporting both projects.
 
 ### WebUI
 The application interface was incorporated from the [chatgpt-clone](https://github.com/xtekky/chatgpt-clone) repository.
 
+<img src='chat.png'>
+
 ### API G4F
 The free GPT-4 API was incorporated from the [GPT4Free](https://github.com/xtekky/gpt4free) repository.
 
-<br>
-
-## Star History
-[![Star History Chart](https://api.star-history.com/svg?repos=ramonvc/freegpt-webui&type=Timeline)](https://star-history.com/#ramonvc/freegpt-webui&Timeline)
-
-<br>
-
 ## Legal Notice
 This repository is _not_ associated with or endorsed by providers of the APIs contained in this GitHub repository. This
 project is intended **for educational purposes only**. This is just a little personal project. Sites may contact me to

chat_gpt_microservice/babel.cfg

@@ -1,2 +0,0 @@
-[python: **/server/.py]
-[jinja2: **/client/html/**.html]

chat_gpt_microservice/cfg/cpp-free-gpt.yml

@@ -0,0 +1,5 @@
+---
+client_root_path: "../client"
+enable_proxy: true
+providers: []
+ip_white_list: []

chat_gpt_microservice/client/css/button.css

@@ -1,26 +0,0 @@
-.button {
-	display: flex;
-	padding: 8px 12px;
-	align-items: center;
-	justify-content: center;
-	border: 1px solid var(--conversations);
-	border-radius: var(--border-radius-1);
-	width: 100%;
-	background: transparent;
-	cursor: pointer;
-}
-
-.button span {
-	color: var(--colour-3);
-	font-size: 0.875rem;
-}
-
-.button i::before {
-	margin-right: 8px;
-}
-
-@media screen and (max-width: 990px) {
-	.button span {
-		font-size: 0.75rem;
-	}
-}

chat_gpt_microservice/client/css/buttons.css

@@ -1,4 +0,0 @@
-.buttons {
-	display: flex;
-	justify-content: left;
-}

chat_gpt_microservice/client/css/checkbox.css

@@ -1,55 +0,0 @@
-.checkbox input {
-	height: 0;
-	width: 0;
-	display: none;
-}
-
-.checkbox span {
-	font-size: 0.875rem;
-	color: var(--colour-2);
-	margin-left: 4px;
-}
-
-.checkbox label:after {
-	content: "";
-	position: absolute;
-	top: 50%;
-	transform: translateY(-50%);
-	left: 5px;
-	width: 20px;
-	height: 20px;
-	background: var(--blur-border);
-	border-radius: 90px;
-	transition: 0.33s;
-}
-
-.checkbox input + label:after,
-.checkbox input:checked + label {
-	background: var(--colour-3);
-}
-
-.checkbox input + label,
-.checkbox input:checked + label:after {
-	background: var(--blur-border);
-}
-
-.checkbox input:checked + label:after {
-	left: calc(100% - 5px - 20px);
-}
-
-@media screen and (max-width: 990px) {
-	.checkbox label {
-		width: 25px;
-		height: 15px;
-	}
-
-	.checkbox label:after {
-		left: 2px;
-		width: 10px;
-		height: 10px;
-	}
-
-	.checkbox input:checked + label:after {
-		left: calc(100% - 2px - 10px);
-	}
-}

chat_gpt_microservice/client/css/conversation.css

@@ -1,158 +0,0 @@
-.conversation {
-	width: 60%;
-	margin: 0px 16px;
-	display: flex;
-	flex-direction: column;
-}
-
-.conversation #messages {
-	width: 100%;
-	display: flex;
-	flex-direction: column;
-	overflow: auto;
-	overflow-wrap: break-word;
-	padding-bottom: 8px;
-}
-
-.conversation .user-input {
-	max-height: 180px;
-	margin: 16px 0px;
-}
-
-.conversation .user-input input {
-	font-size: 1rem;
-	background: none;
-	border: none;
-	outline: none;
-	color: var(--colour-3);
-}
-
-.conversation .user-input input::placeholder {
-	color: var(--user-input);
-}
-
-.conversation-title {
-	color: var(--colour-3);
-	font-size: 14px;
-}
-
-.conversation .user-input textarea {
-	font-size: 1rem;
-	width: 100%;
-	height: 100%;
-	padding: 12px;
-	background: none;
-	border: none;
-	outline: none;
-	color: var(--colour-3);
-	resize: vertical;
-	max-height: 150px;
-	min-height: 80px;
-}
-
-.box {
-	backdrop-filter: blur(20px);
-	-webkit-backdrop-filter: blur(20px);
-	background-color: var(--blur-bg);
-	height: 100%;
-	width: 100%;
-	border-radius: var(--border-radius-1);
-	border: 1px solid var(--blur-border);
-}
-
-.box.input-box {
-	position: relative;
-	align-items: center;
-	padding: 8px;
-	cursor: pointer;
-}
-
-#send-button {
-	position: absolute;
-	bottom: 25%;
-	right: 10px;
-	z-index: 1;
-	padding: 16px;
-}
-
-#cursor {
-	line-height: 17px;
-	margin-left: 3px;
-	-webkit-animation: blink 0.8s infinite;
-	animation: blink 0.8s infinite;
-	width: 7px;
-	height: 15px;
-}
-
-@keyframes blink {
-	0% {
-		background: #ffffff00;
-	}
-
-	50% {
-		background: white;
-	}
-
-	100% {
-		background: #ffffff00;
-	}
-}
-
-@-webkit-keyframes blink {
-	0% {
-		background: #ffffff00;
-	}
-
-	50% {
-		background: white;
-	}
-
-	100% {
-		background: #ffffff00;
-	}
-}
-
-/* scrollbar */
-.conversation #messages::-webkit-scrollbar {
-	width: 4px;
-	padding: 8px 0px;
-}
-
-.conversation #messages::-webkit-scrollbar-track {
-	background-color: #ffffff00;
-}
-
-.conversation #messages::-webkit-scrollbar-thumb {
-	background-color: #555555;
-	border-radius: 10px;
-}
-
-@media screen and (max-width: 990px) {
-	.conversation {
-		width: 100%;
-		height: 90%;
-	}
-}
-
-@media screen and (max-height: 720px) {
-	.conversation.box {
-		height: 70%;
-	}
-
-	.conversation .user-input textarea {
-		font-size: 0.875rem;
-	}
-}
-
-@media screen and (max-width: 360px) {
-	.box {
-		border-radius: 0;
-	}
-	.conversation {
-		margin: 0;
-		margin-top: 48px;
-	}
-	.conversation .user-input {
-		margin: 2px 0 8px 0;
-	}
-}

chat_gpt_microservice/client/css/dropdown.css

@@ -1,10 +0,0 @@
-.dropdown {
-	border: 1px solid var(--conversations);
-}
-
-@media screen and (max-width: 990px) {
-	.dropdown {
-		padding: 4px 8px;
-		font-size: 0.75rem;
-	}
-}

chat_gpt_microservice/client/css/field.css

@@ -1,11 +0,0 @@
-.field {
-	display: flex;
-	align-items: center;
-	padding: 4px;
-}
-
-@media screen and (max-width: 990px) {
-	.field {
-		flex-wrap: nowrap;
-	}
-}

chat_gpt_microservice/client/css/global.css

@@ -1,70 +0,0 @@
-@import url("https://fonts.googleapis.com/css2?family=Inter:wght@100;200;300;400;500;600;700;800;900&display=swap");
-* {
-	--font-1: "Inter", sans-serif;
-	--section-gap: 24px;
-	--border-radius-1: 8px;
-	margin: 0;
-	padding: 0;
-	box-sizing: border-box;
-	position: relative;
-	font-family: var(--font-1);
-}
-
-.theme-light {
-	--colour-1: #f5f5f5;
-	--colour-2: #000000;
-	--colour-3: #474747;
-	--colour-4: #949494;
-	--colour-5: #ebebeb;
-	--colour-6: #dadada;
-
-	--accent: #3a3a3a;
-	--blur-bg: #ffffff;
-	--blur-border: #dbdbdb;
-	--user-input: #282828;
-	--conversations: #666666;
-}
-
-.theme-dark {
-	--colour-1: #181818;
-	--colour-2: #ccc;
-	--colour-3: #dadada;
-	--colour-4: #f0f0f0;
-	--colour-5: #181818;
-	--colour-6: #242424;
-
-	--accent: #151718;
-	--blur-bg: #242627;
-	--blur-border: #242627;
-	--user-input: #f5f5f5;
-	--conversations: #555555;
-}
-
-html,
-body {
-	background: var(--colour-1);
-	color: var(--colour-3);
-}
-
-ol,
-ul {
-	padding-left: 20px;
-}
-
-.shown {
-	display: flex !important;
-}
-
-a:-webkit-any-link {
-	color: var(--accent);
-}
-
-pre {
-	white-space: pre-wrap;
-}
-
-@media screen and (max-height: 720px) {
-	:root {
-		--section-gap: 16px;
-	}
-}

chat_gpt_microservice/client/css/hljs.css

@@ -1,68 +0,0 @@
-.hljs {
-	color: #e9e9f4;
-	background: #28293629;
-	border-radius: var(--border-radius-1);
-	border: 1px solid var(--blur-border);
-	font-size: 15px;
-	word-wrap: break-word;
-	white-space: pre-wrap;
-}
-
-/* style for hljs copy */
-.hljs-copy-wrapper {
-	position: relative;
-	overflow: hidden;
-}
-
-.hljs-copy-wrapper:hover .hljs-copy-button,
-.hljs-copy-button:focus {
-	transform: translateX(0);
-}
-
-.hljs-copy-button {
-	position: absolute;
-	transform: translateX(calc(100% + 1.125em));
-	top: 1em;
-	right: 1em;
-	width: 2rem;
-	height: 2rem;
-	text-indent: -9999px;
-	color: #fff;
-	border-radius: 0.25rem;
-	border: 1px solid #ffffff22;
-	background-color: #2d2b57;
-	background-image: url('data:image/svg+xml;utf-8,<svg width="16" height="16" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" clip-rule="evenodd" d="M6 5C5.73478 5 5.48043 5.10536 5.29289 5.29289C5.10536 5.48043 5 5.73478 5 6V20C5 20.2652 5.10536 20.5196 5.29289 20.7071C5.48043 20.8946 5.73478 21 6 21H18C18.2652 21 18.5196 20.8946 18.7071 20.7071C18.8946 20.5196 19 20.2652 19 20V6C19 5.73478 18.8946 5.48043 18.7071 5.29289C18.5196 5.10536 18.2652 5 18 5H16C15.4477 5 15 4.55228 15 4C15 3.44772 15.4477 3 16 3H18C18.7956 3 19.5587 3.31607 20.1213 3.87868C20.6839 4.44129 21 5.20435 21 6V20C21 20.7957 20.6839 21.5587 20.1213 22.1213C19.5587 22.6839 18.7957 23 18 23H6C5.20435 23 4.44129 22.6839 3.87868 22.1213C3.31607 21.5587 3 20.7957 3 20V6C3 5.20435 3.31607 4.44129 3.87868 3.87868C4.44129 3.31607 5.20435 3 6 3H8C8.55228 3 9 3.44772 9 4C9 4.55228 8.55228 5 8 5H6Z" fill="white"/><path fill-rule="evenodd" clip-rule="evenodd" d="M7 3C7 1.89543 7.89543 1 9 1H15C16.1046 1 17 1.89543 17 3V5C17 6.10457 16.1046 7 15 7H9C7.89543 7 7 6.10457 7 5V3ZM15 3H9V5H15V3Z" fill="white"/></svg>');
-	background-repeat: no-repeat;
-	background-position: center;
-	transition: background-color 200ms ease, transform 200ms ease-out;
-}
-
-.hljs-copy-button:hover {
-	border-color: #ffffff44;
-}
-
-.hljs-copy-button:active {
-	border-color: #ffffff66;
-}
-
-.hljs-copy-button[data-copied="true"] {
-	text-indent: 0;
-	width: auto;
-	background-image: none;
-}
-
-.hljs-copy-alert {
-	clip: rect(0 0 0 0);
-	clip-path: inset(50%);
-	height: 1px;
-	overflow: hidden;
-	position: absolute;
-	white-space: nowrap;
-	width: 1px;
-}
-
-@media (prefers-reduced-motion) {
-	.hljs-copy-button {
-		transition: none;
-	}
-}

chat_gpt_microservice/client/css/label.css

@@ -1,16 +0,0 @@
-label {
-	cursor: pointer;
-	text-indent: -9999px;
-	width: 50px;
-	height: 30px;
-	backdrop-filter: blur(20px);
-	-webkit-backdrop-filter: blur(20px);
-	background-color: var(--blur-bg);
-	border-radius: var(--border-radius-1);
-	border: 1px solid var(--blur-border);
-	display: block;
-	border-radius: 100px;
-	position: relative;
-	overflow: hidden;
-	transition: 0.33s;
-}

chat_gpt_microservice/client/css/main.css

@@ -1,14 +0,0 @@
-.main-container {
-	display: flex;
-	padding: var(--section-gap);
-	height: 100vh;
-	justify-content: center;
-	box-sizing: border-box;
-}
-
-@media screen and (max-width: 360px) {
-	.main-container {
-		padding: 0px;
-		height: 90vh;
-	}
-}

chat_gpt_microservice/client/css/message-input.css

@@ -1,27 +0,0 @@
-#message-input {
-	margin-right: 30px;
-	height: 64px;
-}
-
-#message-input::-webkit-scrollbar {
-	width: 5px;
-}
-
-#message-input::-webkit-scrollbar-track {
-	background: #f1f1f1;
-}
-
-#message-input::-webkit-scrollbar-thumb {
-	background: #c7a2ff;
-}
-
-#message-input::-webkit-scrollbar-thumb:hover {
-	background: #8b3dff;
-}
-
-@media screen and (max-width: 360px) {
-	#message-input {
-		margin: 0;
-	}
-}
-

chat_gpt_microservice/client/css/message.css

@@ -1,65 +0,0 @@
-.message {
-	width: 100%;
-	overflow-wrap: break-word;
-	display: flex;
-	gap: var(--section-gap);
-	padding: var(--section-gap);
-	padding-bottom: 0;
-}
-
-.message:last-child {
-	animation: 0.6s show_message;
-}
-
-@keyframes show_message {
-	from {
-		transform: translateY(10px);
-		opacity: 0;
-	}
-}
-
-.message .avatar-container img {
-	max-width: 48px;
-	max-height: 48px;
-	box-shadow: 0.4px 0.5px 0.7px -2px rgba(0, 0, 0, 0.08), 1.1px 1.3px 2px -2px rgba(0, 0, 0, 0.041),
-		2.7px 3px 4.8px -2px rgba(0, 0, 0, 0.029), 9px 10px 16px -2px rgba(0, 0, 0, 0.022);
-}
-
-.message .content {
-	display: flex;
-	flex-direction: column;
-	width: 90%;
-	gap: 18px;
-}
-
-.message .content p,
-.message .content li,
-.message .content code {
-	font-size: 1rem;
-	line-height: 1.3;
-}
-
-@media screen and (max-height: 720px) {
-	.message {
-		padding: 12px;
-		gap: 0;
-	}
-
-	.message .content {
-		margin-left: 8px;
-		width: 80%;
-	}
-
-	.message .avatar-container img {
-		max-width: 32px;
-		max-height: 32px;
-	}
-
-	.message .content,
-	.message .content p,
-	.message .content li,
-	.message .content code {
-		font-size: 0.875rem;
-		line-height: 1.3;
-	}
-}

chat_gpt_microservice/client/css/options.css

@@ -1,10 +0,0 @@
-.options-container {
-	display: flex;
-	flex-wrap: wrap;
-}
-
-@media screen and (max-width: 990px) {
-	.options-container {
-		justify-content: space-between;
-	}
-}

chat_gpt_microservice/client/css/select.css

@@ -1,35 +0,0 @@
-select {
-	-webkit-border-radius: 8px;
-	-moz-border-radius: 8px;
-	border-radius: 8px;
-
-	-webkit-backdrop-filter: blur(20px);
-	backdrop-filter: blur(20px);
-
-	cursor: pointer;
-	background-color: var(--blur-bg);
-	border: 1px solid var(--blur-border);
-	color: var(--colour-3);
-	display: block;
-	position: relative;
-	overflow: hidden;
-	outline: none;
-	padding: 8px 16px;
-
-	appearance: none;
-}
-
-/* scrollbar */
-select.dropdown::-webkit-scrollbar {
-	width: 4px;
-	padding: 8px 0px;
-}
-
-select.dropdown::-webkit-scrollbar-track {
-	background-color: #ffffff00;
-}
-
-select.dropdown::-webkit-scrollbar-thumb {
-	background-color: #555555;
-	border-radius: 10px;
-}

chat_gpt_microservice/client/css/settings.css

@@ -1,44 +0,0 @@
-.settings-container {
-	color: var(--colour-2);
-	margin: 24px 0px 8px 0px;
-	justify-content: center;
-}
-
-.settings-container span {
-	font-size: 0.875rem;
-	margin: 0;
-}
-
-.settings-container label {
-	width: 24px;
-	height: 16px;
-}
-
-.settings-container .field {
-	justify-content: space-between;
-}
-
-.settings-container .checkbox input + label,
-.settings-container .checkbox input:checked + label:after {
-	background: var(--colour-1);
-}
-
-.settings-container .checkbox input + label:after,
-.settings-container .checkbox input:checked + label {
-	background: var(--colour-3);
-}
-
-.settings-container .checkbox label:after {
-	left: 2px;
-	width: 10px;
-	height: 10px;
-}
-
-.settings-container .checkbox input:checked + label:after {
-	left: calc(100% - 2px - 10px);
-}
-
-.settings-container .dropdown {
-	padding: 4px 8px;
-	font-size: 0.75rem;
-}

chat_gpt_microservice/client/css/sidebar.css

@@ -1,197 +0,0 @@
-.sidebar {
-	max-width: 260px;
-	padding: var(--section-gap);
-	flex-shrink: 0;
-	display: flex;
-	flex-direction: column;
-	justify-content: space-between;
-}
-
-.sidebar .title {
-	font-size: 14px;
-	font-weight: 500;
-}
-
-.sidebar .conversation-sidebar {
-	padding: 8px 12px;
-	display: flex;
-	gap: 18px;
-	align-items: center;
-	user-select: none;
-	justify-content: space-between;
-}
-
-.sidebar .conversation-sidebar .left {
-	cursor: pointer;
-	display: flex;
-	align-items: center;
-	gap: 10px;
-}
-
-.sidebar i {
-	color: var(--conversations);
-	cursor: pointer;
-}
-
-.sidebar .top {
-	display: flex;
-	flex-direction: column;
-	overflow: hidden;
-	gap: 16px;
-	padding-right: 8px;
-}
-
-.sidebar .top:hover {
-	overflow: auto;
-}
-
-.sidebar .info {
-	padding: 8px 12px 0px 12px;
-	display: flex;
-	align-items: center;
-	justify-content: center;
-	user-select: none;
-	background: transparent;
-	width: 100%;
-	border: none;
-	text-decoration: none;
-}
-
-.sidebar .info span {
-	color: var(--conversations);
-	line-height: 1.5;
-	font-size: 0.75rem;
-}
-
-.sidebar .info i::before {
-	margin-right: 8px;
-}
-
-.sidebar-footer {
-	width: 100%;
-	margin-top: 16px;
-	display: flex;
-	flex-direction: column;
-}
-
-.sidebar-footer button {
-	cursor: pointer;
-	user-select: none;
-	background: transparent;
-}
-
-.sidebar.shown {
-	position: fixed;
-	top: 0;
-	left: 0;
-	width: 100%;
-	height: 100%;
-	z-index: 1000;
-}
-
-.sidebar.shown .box {
-	background-color: #16171a;
-	width: 80%;
-	height: 100%;
-	overflow-y: auto;
-}
-
-@keyframes spinner {
-	to {
-		transform: rotate(360deg);
-	}
-}
-
-/* scrollbar */
-.sidebar .top::-webkit-scrollbar {
-	width: 4px;
-	padding: 8px 0px;
-}
-
-.sidebar .top::-webkit-scrollbar-track {
-	background-color: #ffffff00;
-}
-
-.sidebar .top::-webkit-scrollbar-thumb {
-	background-color: #555555;
-	border-radius: 10px;
-}
-
-.spinner:before {
-	content: "";
-	box-sizing: border-box;
-	position: absolute;
-	top: 50%;
-	left: 45%;
-	width: 20px;
-	height: 20px;
-	border-radius: 50%;
-	border: 1px solid var(--conversations);
-	border-top-color: white;
-	animation: spinner 0.6s linear infinite;
-}
-
-.menu-button {
-	display: none !important;
-	position: absolute;
-	z-index: 100000;
-	top: 0;
-	left: 0;
-	margin: 10px;
-	font-size: 1rem;
-	cursor: pointer;
-	width: 30px;
-	height: 30px;
-	justify-content: center;
-	align-items: center;
-	transition: 0.33s;
-}
-
-.menu-button i {
-	transition: 0.33s;
-}
-
-.rotated {
-	transform: rotate(360deg);
-}
-
-.menu-button.rotated {
-	position: fixed;
-	top: 10px;
-	left: 10px;
-	z-index: 1001;
-}
-
-@media screen and (max-width: 990px) {
-	.sidebar {
-		display: none;
-		width: 100%;
-		max-width: none;
-	}
-
-	.menu-button {
-		display: flex !important;
-	}
-}
-
-@media (max-width: 990px) {
-	.sidebar .top {
-		padding-top: 48px;
-	}
-}
-
-@media (min-width: 768px) {
-	.sidebar.shown {
-		position: static;
-		width: auto;
-		height: auto;
-		background-color: transparent;
-	}
-
-	.sidebar.shown .box {
-		background-color: #16171a;
-		width: auto;
-		height: auto;
-		overflow-y: auto;
-	}
-}

chat_gpt_microservice/client/css/stop-generating.css

@@ -1,38 +0,0 @@
-.stop-generating {
-	position: absolute;
-	bottom: 128px;
-	left: 50%;
-	transform: translateX(-50%);
-	z-index: 1000000;
-}
-
-.stop-generating button {
-	backdrop-filter: blur(20px);
-	-webkit-backdrop-filter: blur(20px);
-	background-color: var(--blur-bg);
-	color: var(--colour-3);
-	cursor: pointer;
-	animation: show_popup 0.4s;
-}
-
-@keyframes show_popup {
-	from {
-		opacity: 0;
-		transform: translateY(10px);
-	}
-}
-
-@keyframes hide_popup {
-	to {
-		opacity: 0;
-		transform: translateY(10px);
-	}
-}
-
-.stop-generating-hiding button {
-	animation: hide_popup 0.4s;
-}
-
-.stop-generating-hidden button {
-	display: none;
-}

chat_gpt_microservice/client/css/style.css

@@ -1,18 +1,821 @@
-@import "global.css";
+@import url("https://fonts.googleapis.com/css2?family=Inter:wght@100;200;300;400;500;600;700;800;900&display=swap");
-@import "hljs.css";
+
-@import "main.css";
+/* :root {
-@import "sidebar.css";
+    --colour-1: #ffffff;
-@import "conversation.css";
+    --colour-2: #000000;
-@import "message.css";
+    --colour-3: #000000;
-@import "stop-generating.css";
+    --colour-4: #000000;
-@import "typing.css";
+    --colour-5: #000000;
-@import "checkbox.css";
+    --colour-6: #000000;
-@import "label.css";
+
-@import "button.css";
+    --accent: #ffffff;
-@import "buttons.css";
+    --blur-bg: #98989866;
-@import "dropdown.css";
+    --blur-border: #00000040;
-@import "field.css";
+    --user-input: #000000;
-@import "select.css";
+    --conversations: #000000;
-@import "options.css";
+} */
-@import "settings.css";
+
-@import "message-input.css";
+:root {
+    --colour-1: #000000;
+    --colour-2: #ccc;
+    --colour-3: #e4d4ff;
+    --colour-4: #f0f0f0;
+    --colour-5: #181818;
+    --colour-6: #242424;
+
+    --accent: #8b3dff;
+    --blur-bg: #16101b66;
+    --blur-border: #84719040;
+    --user-input: #ac87bb;
+    --conversations: #c7a2ff;
+}
+
+:root {
+    --font-1: "Inter", sans-serif;
+    --section-gap: 25px;
+    --border-radius-1: 8px;
+}
+
+* {
+    margin: 0;
+    padding: 0;
+    box-sizing: border-box;
+    position: relative;
+    font-family: var(--font-1);
+}
+
+html,
+body {
+    scroll-behavior: smooth;
+    overflow: hidden;
+}
+
+body {
+    padding: var(--section-gap);
+    background: var(--colour-1);
+    color: var(--colour-3);
+    min-height: 100vh;
+}
+
+.row {
+    display: flex;
+    gap: var(--section-gap);
+    height: 100%;
+}
+
+.box {
+    backdrop-filter: blur(20px);
+    -webkit-backdrop-filter: blur(20px);
+    background-color: var(--blur-bg);
+    height: 100%;
+    width: 100%;
+    border-radius: var(--border-radius-1);
+    border: 1px solid var(--blur-border);
+}
+
+.conversations {
+    max-width: 260px;
+    padding: var(--section-gap);
+    overflow: auto;
+    flex-shrink: 0;
+    display: flex;
+    flex-direction: column;
+    justify-content: space-between;
+}
+
+.conversation {
+    width: 100%;
+    min-height: 50%;
+    height: 100vh;
+    overflow-y: scroll;
+    overflow-x: hidden;
+    display: flex;
+    flex-direction: column;
+    gap: 15px;
+}
+
+.conversation #messages {
+    width: 100%;
+    display: flex;
+    flex-direction: column;
+    overflow-wrap: break-word;
+    overflow-y: inherit;
+    overflow-x: hidden;
+    padding-bottom: 50px;
+}
+
+.conversation .user-input {
+    max-height: 10vh;
+}
+
+.conversation .user-input input {
+    font-size: 15px;
+    width: 100%;
+    height: 100%;
+    padding: 12px 15px;
+    background: none;
+    border: none;
+    outline: none;
+    color: var(--colour-3);
+}
+
+.conversation .user-input input::placeholder {
+    color: var(--user-input)
+}
+
+.gradient:nth-child(1) {
+    --top: 0;
+    --right: 0;
+    --size: 70vw;
+    --blur: calc(0.5 * var(--size));
+    --opacity: 0.3;
+    animation: zoom_gradient 6s infinite;
+}
+
+.gradient {
+    position: absolute;
+    z-index: -1;
+    border-radius: calc(0.5 * var(--size));
+    background-color: var(--accent);
+    background: radial-gradient(circle at center, var(--accent), var(--accent));
+    width: 70vw;
+    height: 70vw;
+    top: 50%;
+    right: 0;
+    transform: translateY(-50%);
+    filter: blur(calc(0.5 * 70vw)) opacity(var(--opacity));
+}
+
+.conversations {
+    display: flex;
+    flex-direction: column;
+    gap: 16px;
+    flex: auto;
+    min-width: 0;
+}
+
+.conversations .title {
+    font-size: 14px;
+    font-weight: 500;
+}
+
+.conversations .convo {
+    padding: 8px 12px;
+    display: flex;
+    gap: 18px;
+    align-items: center;
+    user-select: none;
+    justify-content: space-between;
+}
+
+.conversations .convo .left {
+    cursor: pointer;
+    display: flex;
+    align-items: center;
+    gap: 10px;
+    flex: auto;
+    min-width: 0;
+}
+
+.conversations i {
+    color: var(--conversations);
+    cursor: pointer;
+}
+
+.convo-title {
+    color: var(--colour-3);
+    font-size: 14px;
+    overflow: hidden;
+    text-overflow: ellipsis;
+}
+
+.message {
+
+    width: 100%;
+    overflow-wrap: break-word;
+    display: flex;
+    gap: var(--section-gap);
+    padding: var(--section-gap);
+    padding-bottom: 0;
+}
+
+.message:last-child {
+    animation: 0.6s show_message;
+}
+
+@keyframes show_message {
+    from {
+        transform: translateY(10px);
+        opacity: 0;
+    }
+}
+
+.message .user {
+    max-width: 48px;
+    max-height: 48px;
+    flex-shrink: 0;
+}
+
+.message .user img {
+    width: 100%;
+    height: 100%;
+    object-fit: cover;
+    border-radius: 8px;
+    outline: 1px solid var(--blur-border);
+}
+
+.message .user:after {
+    content: "63";
+    position: absolute;
+    bottom: 0;
+    right: 0;
+    height: 60%;
+    width: 60%;
+    background: var(--colour-3);
+    filter: blur(10px) opacity(0.5);
+    z-index: 10000;
+}
+
+.message .content {
+    display: flex;
+    flex-direction: column;
+    gap: 18px;
+    min-width: 0;
+}
+
+.message .content p,
+.message .content li,
+.message .content code {
+    font-size: 15px;
+    line-height: 1.3;
+}
+
+.message .user i {
+    position: absolute;
+    bottom: -6px;
+    right: -6px;
+    z-index: 1000;
+}
+
+.new_convo {
+    padding: 8px 12px;
+    display: flex;
+    gap: 18px;
+    align-items: center;
+    cursor: pointer;
+    user-select: none;
+    background: transparent;
+    border: 1px dashed var(--conversations);
+    border-radius: var(--border-radius-1);
+}
+
+.new_convo span {
+    color: var(--colour-3);
+    font-size: 14px;
+}
+
+.new_convo:hover {
+    border-style: solid;
+}
+
+.stop_generating {
+    position: absolute;
+    bottom: 118px;
+    /* left: 10px;
+    bottom: 125px;
+    right: 8px; */
+    left: 50%;
+    transform: translateX(-50%);
+    z-index: 1000000;
+}
+
+.stop_generating button {
+    backdrop-filter: blur(20px);
+    -webkit-backdrop-filter: blur(20px);
+    background-color: var(--blur-bg);
+    border-radius: var(--border-radius-1);
+    border: 1px solid var(--blur-border);
+    padding: 10px 15px;
+    color: var(--colour-3);
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    gap: 12px;
+    cursor: pointer;
+    animation: show_popup 0.4s;
+}
+
+@keyframes show_popup {
+    from {
+        opacity: 0;
+        transform: translateY(10px);
+    }
+}
+
+@keyframes hide_popup {
+    to {
+        opacity: 0;
+        transform: translateY(10px);
+    }
+}
+
+.stop_generating-hiding button {
+    animation: hide_popup 0.4s;
+}
+
+.stop_generating-hidden button {
+    display: none;
+}
+
+.typing {
+    position: absolute;
+    top: -25px;
+    left: 0;
+    font-size: 14px;
+    animation: show_popup 0.4s;
+}
+
+.typing-hiding {
+    animation: hide_popup 0.4s;
+}
+
+.typing-hidden {
+    display: none;
+}
+
+input[type="checkbox"] {
+    height: 0;
+    width: 0;
+    display: none;
+}
+
+label {
+    cursor: pointer;
+    text-indent: -9999px;
+    width: 50px;
+    height: 30px;
+    backdrop-filter: blur(20px);
+    -webkit-backdrop-filter: blur(20px);
+    background-color: var(--blur-bg);
+    border-radius: var(--border-radius-1);
+    border: 1px solid var(--blur-border);
+    display: block;
+    border-radius: 100px;
+    position: relative;
+    overflow: hidden;
+    transition: 0.33s;
+}
+
+label:after {
+    content: "";
+    position: absolute;
+    top: 50%;
+    transform: translateY(-50%);
+    left: 5px;
+    width: 20px;
+    height: 20px;
+    background: var(--colour-3);
+    border-radius: 90px;
+    transition: 0.33s;
+}
+
+input:checked+label {
+    background: var(--blur-border);
+}
+
+input:checked+label:after {
+    left: calc(100% - 5px - 20px);
+}
+
+.buttons {
+    min-height: 10vh;
+    display: flex;
+    align-items: start;
+    justify-content: left;
+    width: 100%;
+}
+
+.field {
+    height: fit-content;
+    display: flex;
+    align-items: center;
+    gap: 16px;
+    padding-right: 15px
+}
+
+.field .about {
+    font-size: 14px;
+    color: var(--colour-3);
+}
+
+.disable-scrollbars::-webkit-scrollbar {
+  background: transparent; /* Chrome/Safari/Webkit */
+  width: 0px;
+}
+    
+.disable-scrollbars {
+  scrollbar-width: none; /* Firefox */
+  -ms-overflow-style: none;  /* IE 10+ */
+}
+
+select {
+    -webkit-border-radius: 8px;
+    -moz-border-radius: 8px;
+    border-radius: 8px;
+
+    -webkit-backdrop-filter: blur(20px);
+    backdrop-filter: blur(20px);
+
+    cursor: pointer;
+    background-color: var(--blur-bg);
+    border: 1px solid var(--blur-border);
+    color: var(--colour-3);
+    display: block;
+    position: relative;
+    overflow: hidden;
+    outline: none;
+    padding: 8px 16px;
+
+    appearance: none;
+}
+
+.input-box {
+    display: flex;
+    align-items: center;
+    padding-right: 15px;
+    cursor: pointer;
+}
+
+.info {
+    padding: 8px 12px;
+    display: flex;
+    gap: 18px;
+    align-items: center;
+    user-select: none;
+    background: transparent;
+    border-radius: var(--border-radius-1);
+    width: 100%;
+    cursor: default;
+    border: 1px dashed var(--conversations)
+}
+
+.bottom_buttons {
+    width: 100%;
+    display: flex;
+    flex-direction: column;
+    gap: 10px;
+}
+
+.bottom_buttons button {
+    padding: 8px 12px;
+    display: flex;
+    gap: 18px;
+    align-items: center;
+    cursor: pointer;
+    user-select: none;
+    background: transparent;
+    border: 1px solid #c7a2ff;
+    border-radius: var(--border-radius-1);
+    width: 100%;
+}
+
+.bottom_buttons button span {
+    color: var(--colour-3);
+    font-size: 14px;
+}
+
+.conversations .top {
+    display: flex;
+    flex-direction: column;
+    gap: 16px;
+    overflow: auto;
+}
+
+#cursor {
+    line-height: 17px;
+    margin-left: 3px;
+    -webkit-animation: blink 0.8s infinite;
+    animation: blink 0.8s infinite;
+    width: 7px;
+    height: 15px;
+}
+
+@keyframes blink {
+    0% {
+        background: #ffffff00;
+    }
+
+    50% {
+        background: white;
+    }
+
+    100% {
+        background: #ffffff00;
+    }
+}
+
+@-webkit-keyframes blink {
+    0% {
+        background: #ffffff00;
+    }
+
+    50% {
+        background: white;
+    }
+
+    100% {
+        background: #ffffff00;
+    }
+}
+
+
+ol,
+ul {
+    padding-left: 20px;
+}
+
+
+@keyframes spinner {
+    to {
+        transform: rotate(360deg);
+    }
+}
+
+.spinner:before {
+    content: '';
+    box-sizing: border-box;
+    position: absolute;
+    top: 50%;
+    left: 45%;
+    width: 20px;
+    height: 20px;
+
+    border-radius: 50%;
+    border: 1px solid var(--conversations);
+    border-top-color: white;
+    animation: spinner .6s linear infinite;
+}
+
+.grecaptcha-badge {
+    visibility: hidden;
+}
+
+.mobile-sidebar {
+    display: none !important;
+    position: absolute;
+    z-index: 100000;
+    top: 0;
+    left: 0;
+    margin: 10px;
+    font-size: 20px;
+    cursor: pointer;
+    backdrop-filter: blur(20px);
+    -webkit-backdrop-filter: blur(20px);
+    background-color: var(--blur-bg);
+    border-radius: 10px;
+    border: 1px solid var(--blur-border);
+    width: 40px;
+    height: 40px;
+    justify-content: center;
+    align-items: center;
+    transition: 0.33s;
+}
+
+.mobile-sidebar i {
+    transition: 0.33s;
+}
+
+.rotated {
+    transform: rotate(360deg);
+}
+
+@media screen and (max-width: 990px) {
+    .conversations {
+        display: none;
+        width: 100%;
+        max-width: none;
+    }
+
+    .buttons {
+    flex-wrap: wrap;
+    gap: 5px;
+    padding-bottom: 10vh;
+    margin-bottom: 10vh;
+}
+
+    .field {
+    min-height: 5%;
+    width: fit-content;
+}
+
+    .mobile-sidebar {
+        display: flex !important;
+    }
+}
+
+@media screen and (max-height: 640px) {
+    body {
+        height: 87vh
+    }
+}
+
+
+.shown {
+    display: flex;
+}
+
+
+a:-webkit-any-link {
+    color: var(--accent);
+}
+
+.conversation .user-input textarea {
+    font-size: 15px;
+    width: 100%;
+    height: 100%;
+    padding: 12px 15px;
+    background: none;
+    border: none;
+    outline: none;
+    color: var(--colour-3);
+
+    resize: vertical;
+    max-height: 150px;
+    min-height: 80px;
+}
+
+/* style for hljs copy */
+.hljs-copy-wrapper {
+    position: relative;
+    overflow: hidden
+}
+
+.hljs-copy-wrapper:hover .hljs-copy-button,
+.hljs-copy-button:focus {
+    transform: translateX(0)
+}
+
+.hljs-copy-button {
+    position: absolute;
+    transform: translateX(calc(100% + 1.125em));
+    top: 1em;
+    right: 1em;
+    width: 2rem;
+    height: 2rem;
+    text-indent: -9999px;
+    color: #fff;
+    border-radius: .25rem;
+    border: 1px solid #ffffff22;
+    background-color: #2d2b57;
+    background-image: url('data:image/svg+xml;utf-8,<svg width="16" height="16" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" clip-rule="evenodd" d="M6 5C5.73478 5 5.48043 5.10536 5.29289 5.29289C5.10536 5.48043 5 5.73478 5 6V20C5 20.2652 5.10536 20.5196 5.29289 20.7071C5.48043 20.8946 5.73478 21 6 21H18C18.2652 21 18.5196 20.8946 18.7071 20.7071C18.8946 20.5196 19 20.2652 19 20V6C19 5.73478 18.8946 5.48043 18.7071 5.29289C18.5196 5.10536 18.2652 5 18 5H16C15.4477 5 15 4.55228 15 4C15 3.44772 15.4477 3 16 3H18C18.7956 3 19.5587 3.31607 20.1213 3.87868C20.6839 4.44129 21 5.20435 21 6V20C21 20.7957 20.6839 21.5587 20.1213 22.1213C19.5587 22.6839 18.7957 23 18 23H6C5.20435 23 4.44129 22.6839 3.87868 22.1213C3.31607 21.5587 3 20.7957 3 20V6C3 5.20435 3.31607 4.44129 3.87868 3.87868C4.44129 3.31607 5.20435 3 6 3H8C8.55228 3 9 3.44772 9 4C9 4.55228 8.55228 5 8 5H6Z" fill="white"/><path fill-rule="evenodd" clip-rule="evenodd" d="M7 3C7 1.89543 7.89543 1 9 1H15C16.1046 1 17 1.89543 17 3V5C17 6.10457 16.1046 7 15 7H9C7.89543 7 7 6.10457 7 5V3ZM15 3H9V5H15V3Z" fill="white"/></svg>');
+    background-repeat: no-repeat;
+    background-position: center;
+    transition: background-color 200ms ease, transform 200ms ease-out
+}
+
+.hljs-copy-button:hover {
+    border-color: #ffffff44
+}
+
+.hljs-copy-button:active {
+    border-color: #ffffff66
+}
+
+.hljs-copy-button[data-copied="true"] {
+    text-indent: 0;
+    width: auto;
+    background-image: none
+}
+
+@media(prefers-reduced-motion) {
+    .hljs-copy-button {
+        transition: none
+    }
+}
+
+.hljs-copy-alert {
+    clip: rect(0 0 0 0);
+    clip-path: inset(50%);
+    height: 1px;
+    overflow: hidden;
+    position: absolute;
+    white-space: nowrap;
+    width: 1px
+}
+
+.visually-hidden {
+    clip: rect(0 0 0 0);
+    clip-path: inset(50%);
+    height: 1px;
+    overflow: hidden;
+    position: absolute;
+    white-space: nowrap;
+    width: 1px;
+}
+
+
+.color-picker>fieldset {
+    border: 0;
+    display: flex;
+    width: fit-content;
+    background: var(--colour-1);
+    margin-inline: auto;
+    border-radius: 8px;
+    -webkit-backdrop-filter: blur(20px);
+    backdrop-filter: blur(20px);
+    cursor: pointer;
+    background-color: var(--blur-bg);
+    border: 1px solid var(--blur-border);
+    color: var(--colour-3);
+    display: block;
+    position: relative;
+    overflow: hidden;
+    outline: none;
+    padding: 6px 16px;
+}
+
+.color-picker input[type="radio"]:checked {
+    background-color: var(--radio-color);
+}
+
+.color-picker input[type="radio"]#light {
+    --radio-color: gray;
+}
+
+.color-picker input[type="radio"]#pink {
+    --radio-color: pink;
+}
+
+.color-picker input[type="radio"]#blue {
+    --radio-color: blue;
+}
+
+.color-picker input[type="radio"]#green {
+    --radio-color: green;
+}
+
+.color-picker input[type="radio"]#dark {
+    --radio-color: #232323;
+}
+
+.pink {
+    --colour-1: hsl(310 50% 90%);
+    --clr-card-bg: hsl(310 50% 100%);
+    --colour-3: hsl(310 50% 15%);
+    --conversations: hsl(310 50% 25%);
+}
+
+.blue {
+    --colour-1: hsl(209 50% 90%);
+    --clr-card-bg: hsl(209 50% 100%);
+    --colour-3: hsl(209 50% 15%);
+    --conversations: hsl(209 50% 25%);
+}
+
+.green {
+    --colour-1: hsl(109 50% 90%);
+    --clr-card-bg: hsl(109 50% 100%);
+    --colour-3: hsl(109 50% 15%);
+    --conversations: hsl(109 50% 25%);
+}
+
+.dark {
+    --colour-1: hsl(209 50% 10%);
+    --clr-card-bg: hsl(209 50% 5%);
+    --colour-3: hsl(209 50% 90%);
+    --conversations: hsl(209 50% 80%);
+}
+
+:root:has(#pink:checked) {
+    --colour-1: hsl(310 50% 90%);
+    --clr-card-bg: hsl(310 50% 100%);
+    --colour-3: hsl(310 50% 15%);
+    --conversations: hsl(310 50% 25%);
+}
+
+:root:has(#blue:checked) {
+    --colour-1: hsl(209 50% 90%);
+    --clr-card-bg: hsl(209 50% 100%);
+    --colour-3: hsl(209 50% 15%);
+    --conversations: hsl(209 50% 25%);
+}
+
+:root:has(#green:checked) {
+    --colour-1: hsl(109 50% 90%);
+    --clr-card-bg: hsl(109 50% 100%);
+    --colour-3: hsl(109 50% 15%);
+    --conversations: hsl(109 50% 25%);
+}
+
+:root:has(#dark:checked) {
+    --colour-1: hsl(209 50% 10%);
+    --clr-card-bg: hsl(209 50% 5%);
+    --colour-3: hsl(209 50% 90%);
+    --conversations: hsl(209 50% 80%);
+}
+
+.trash-icon {
+    position: absolute;
+    top: 20px;
+    right: 20px;
+}

chat_gpt_microservice/client/css/typing.css

@@ -1,15 +0,0 @@
-.typing {
-	position: absolute;
-	top: -25px;
-	left: 0;
-	font-size: 14px;
-	animation: show_popup 0.4s;
-}
-
-.typing-hiding {
-	animation: hide_popup 0.4s;
-}
-
-.typing-hidden {
-	display: none;
-}

chat_gpt_microservice/client/html/index.html

@@ -1,135 +1,155 @@
 <!DOCTYPE html>
 <html lang="en">
-	<head>
+    <head>
-		<meta charset="UTF-8" />
+        <meta charset="UTF-8">
-		<meta http-equiv="X-UA-Compatible" content="IE=edge" />
+        <meta http-equiv="X-UA-Compatible" content="IE=edge">
-		<meta name="viewport" content="width=device-width, initial-scale=1.0 maximum-scale=1.0" />
+        <meta name="viewport" content="width=device-width, initial-scale=1.0 maximum-scale=1.0">
-		<meta name="description" content="A conversational AI system that listens, learns, and challenges" />
+        <meta name="description" content="A conversational AI system that listens, learns, and challenges">
-		<meta property="og:title" content="ChatGPT" />
+        <meta property="og:title" content="ChatGPT">
-		<meta property="og:image" content="https://openai.com/content/images/2022/11/ChatGPT.jpg" />
+        <meta property="og:image" content="https://openai.com/content/images/2022/11/ChatGPT.jpg">
-		<meta
+        <meta property="og:description" content="A conversational AI system that listens, learns, and challenges">
-			property="og:description"
+        <meta property="og:url" content="https://chat.acy.dev">
-			content="A conversational AI system that listens, learns, and challenges" />
+        <link rel="stylesheet" href="/assets/css/style.css">
-		<meta property="og:url" content="https://chat.acy.dev" />
+        <link rel="apple-touch-icon" sizes="180x180" href="/assets/img/apple-touch-icon.png">
-		<link rel="stylesheet" href="{{ url_for('bp.static', filename='css/style.css') }}" />
+        <link rel="icon" type="image/png" sizes="32x32" href="/assets/img/favicon-32x32.png">
-		<link
+        <link rel="icon" type="image/png" sizes="16x16" href="/assets/img/favicon-16x16.png">
-			rel="apple-touch-icon"
+        <link rel="manifest" href="/assets/img/site.webmanifest">
-			sizes="180x180"
+        <script src="/assets/js/icons.js"></script>
-			href="{{ url_for('bp.static', filename='img/apple-touch-icon.png') }}" />
+        <script src="/assets/js/chat.js" defer></script>
-		<link
+        <script src="https://cdn.jsdelivr.net/npm/markdown-it@latest/dist/markdown-it.min.js"></script>
-			rel="icon"
+        <link rel="stylesheet" href="//cdn.jsdelivr.net/gh/highlightjs/cdn-release@latest/build/styles/base16/dracula.min.css">
-			type="image/png"
+        <script>
-			sizes="32x32"
+            const user_image        = `<img src="/assets/img/user.png" alt="User Avatar">`;
-			href="{{ url_for('bp.static', filename='img/favicon-32x32.png') }}" />
+            const gpt_image         = `<img src="/assets/img/gpt.png" alt="GPT Avatar">`;
-		<link
+        </script>
-			rel="icon"
+        <style>
-			type="image/png"
+            .hljs {
-			sizes="16x16"
+                color: #e9e9f4;
-			href="{{ url_for('bp.static', filename='img/favicon-16x16.png') }}" />
+                background: #28293629;
-		<link rel="manifest" href="{{ url_for('bp.static', filename='img/site.webmanifest') }}" />
+                border-radius: var(--border-radius-1);
-		<link
+                border: 1px solid var(--blur-border);
-			rel="stylesheet"
+                font-size: 15px;
-			href="//cdn.jsdelivr.net/gh/highlightjs/cdn-release@latest/build/styles/base16/dracula.min.css" />
+            }
-		<title>FreeGPT</title>
-	</head>
 
-	<body data-urlprefix="{{ url_prefix}}">
+            #message-input {
-		<div class="main-container">
+                margin-right: 30px;
-			<div class="box sidebar">
+                height: 80px;
-				<div class="top">
+            }
-					<button class="button" onclick="new_conversation()">
-						<i class="fa-regular fa-plus"></i>
-						<span>{{_('New Conversation')}}</span>
-					</button>
-					<div class="spinner"></div>
-				</div>
-				<div class="sidebar-footer">
-					<button class="button" onclick="delete_conversations()">
-						<i class="fa-regular fa-trash"></i>
-						<span>{{_('Clear Conversations')}}</span>
-					</button>
-					<div class="settings-container">
-						<div class="checkbox field">
-							<span>{{_('Dark Mode')}}</span>
-							<input type="checkbox" id="theme-toggler" />
-							<label for="theme-toggler"></label>
-						</div>
-						<div class="field">
-							<span>{{_('Language')}}</span>
-							<select
-								class="dropdown"
-								id="language"
-								onchange="changeLanguage(this.value)"></select>
-						</div>
-					</div>
-					<a class="info" href="https://github.com/ramonvc/gptfree-jailbreak-webui" target="_blank">
-						<i class="fa-brands fa-github"></i>
-						<span class="conversation-title"> {{_('Version')}}: 0.1.0 </span>
-					</a>
-				</div>
-			</div>
-			<div class="conversation">
-				<div class="stop-generating stop-generating-hidden">
-					<button class="button" id="cancelButton">
-						<span>{{_('Stop Generating')}}</span>
-					</button>
-				</div>
-				<div class="box" id="messages"></div>
-				<div class="user-input">
-					<div class="box input-box">
-						<textarea
-							id="message-input"
-							placeholder="{{_('Ask a question')}}"
-							cols="30"
-							rows="10"
-							style="white-space: pre-wrap"></textarea>
-						<div id="send-button">
-							<i class="fa-regular fa-paper-plane-top"></i>
-						</div>
-					</div>
-				</div>
-				<div>
-					<div class="options-container">
-						<div class="buttons">
-							<div class="field">
-								<select class="dropdown" name="model" id="model">
-									<option value="gpt-3.5-turbo" selected>GPT-3.5</option>
-									<option value="gpt-3.5-turbo-16k">GPT-3.5-turbo-16k</option>
-									<option value="gpt-4">GPT-4</option>
-								</select>
-							</div>
-							<div class="field">
-								<select class="dropdown" name="jailbreak" id="jailbreak">
-									<option value="default" selected>{{_('Default')}}</option>
-									<option value="gpt-dan-11.0">{{_('DAN')}}</option>
-									<option value="gpt-evil">{{_('Evil')}}</option>
-								</select>
-							</div>
-						</div>
-						<div class="field checkbox">
-							<input type="checkbox" id="switch" />
-							<label for="switch"></label>
-							<span>{{_('Web Access')}}</span>
-						</div>
-					</div>
-				</div>
-			</div>
-		</div>
-		<div class="menu-button">
-			<i class="fa-solid fa-bars"></i>
-		</div>
 
-		<!-- scripts -->
+            #message-input::-webkit-scrollbar {
-		<script>
+                width: 5px;
-			window.conversation_id = "{{ chat_id }}";
+            }
-		</script>
+
-		<script src="{{ url_for('bp.static', filename='js/icons.js') }}"></script>
+            /* Track */
-		<script src="{{ url_for('bp.static', filename='js/chat.js') }}" defer></script>
+            #message-input::-webkit-scrollbar-track {
-		<script src="https://cdn.jsdelivr.net/npm/markdown-it@latest/dist/markdown-it.min.js"></script>
+                background: #f1f1f1;
-		<script src="{{ url_for('bp.static', filename='js/highlight.min.js') }}"></script>
+            }
-		<script src="{{ url_for('bp.static', filename='js/highlightjs-copy.min.js') }}"></script>
+
-		<script src="{{ url_for('bp.static', filename='js/theme-toggler.js') }}"></script>
+            /* Handle */
-		<script src="{{ url_for('bp.static', filename='js/sidebar-toggler.js') }}"></script>
+            #message-input::-webkit-scrollbar-thumb {
-		<script src="{{ url_for('bp.static', filename='js/change-language.js') }}"></script>
+                background: #c7a2ff;
-	</body>
+            }
+
+            /* Handle on hover */
+            #message-input::-webkit-scrollbar-thumb:hover {
+                background: #8b3dff;
+            }
+        </style>
+        <script src="/assets/js/highlight.min.js"></script>
+        <script src="/assets/js/highlightjs-copy.min.js"></script>
+        <script>window.conversation_id = {{chat_id}} </script>
+        <title>ChatGPT</title>
+    </head>
+    <body>
+        <div class="gradient"></div>
+        <div class="row">
+            <div class="box conversations">
+                <div class="top">
+                    <button class="new_convo" onclick="new_conversation()">
+                        <i class="fa-regular fa-plus"></i>
+                        <span>New Conversation</span>
+                    </button>
+                    <div class="spinner"></div>
+                </div>
+                <div class="bottom_buttons">
+                    <button onclick="delete_conversations()">
+                        <i class="fa-regular fa-trash"></i>
+                        <span>Clear Conversations</span>
+                    </button>
+                    <div class="info">
+                        <i class="fa-regular fa-circle-info"></i>
+                        <span class="convo-title">By: Balsh<br>
+                            Version: 0.0.6 <br>
+                            Release: 2023-09-06<br>
+                        </span>
+                    </div>
+                </div>
+            </div>
+            <div class="conversation disable-scrollbars">
+                <div class="stop_generating stop_generating-hidden">
+                    <button id="cancelButton">
+                        <span>Stop Generating</span>
+                        <i class="fa-regular fa-stop"></i>
+                    </button>
+                </div>
+                <div class="box" id="messages">
+                </div>
+                <div class="user-input">
+                    <div class="box input-box">
+                        <textarea id="message-input" placeholder="Ask a question" cols="30" rows="10" style="white-space: pre-wrap;" oninput="resizeTextarea(this)"></textarea>
+                        <div id="send-button">
+                            <i class="fa-regular fa-paper-plane-top"></i>
+                        </div>
+                    </div>
+                </div>
+                <div class="buttons">
+                    <div class="field">
+                        <input type="checkbox" id="switch"/>
+                        <label for="switch"></label>
+                        <span class="about">Web Access</span>
+                    </div>
+                    <div class="field">
+                        <select name="model" id="model">
+## for m in model_list
+    {% if loop.index1 == 1 %}
+                        <option value="{{ m }}" selected>{{ m }}</option>
+    {% else %}
+                        <option value="{{ m }}">{{ m }}</option>
+    {% endif %}
+## endfor
+                        </select>
+                        <!-- <span class="about">Model</span> -->
+                    </div>
+                    <div class="field">
+                        <select name="jailbreak" id="jailbreak">
+                            <option value="default" selected>default</option>
+                        </select>
+                    </div>
+
+                <form class="color-picker" action="">
+                    <fieldset>
+                        <legend class="visually-hidden">Pick a color scheme</legend>
+                        <label for="light" class="visually-hidden">Light</label>
+                        <input type="radio" title="light" name="theme" id="light" checked>
+                    
+                        <label for="pink" class="visually-hidden">Pink theme</label>
+                        <input type="radio" title="pink" id="pink" name="theme">
+                    
+                        <label for="blue" class="visually-hidden">Blue theme</label>
+                        <input type="radio" title="blue" id="blue" name="theme">
+                    
+                        <label for="green" class="visually-hidden">Green theme</label>
+                        <input type="radio" title="green" id="green" name="theme">
+                    
+                        <label for="dark" class="visually-hidden">Dark theme</label>
+                        <input type="radio" title="dark" id="dark" name="theme">
+                    </fieldset>
+                    </form>
+                </div>
+            </div>
+        </div>
+        <div class="mobile-sidebar">
+            <i class="fa-solid fa-bars"></i>
+        </div>
+    </body>
 </html>

chat_gpt_microservice/client/js/change-language.js

@@ -1,47 +0,0 @@
-document.addEventListener('DOMContentLoaded', fetchLanguages);  
-  
-async function fetchLanguages() {  
-    try {  
-        const [languagesResponse, currentLanguageResponse] = await Promise.all([  
-            fetch(`${url_prefix}/get-languages`),  
-            fetch(`${url_prefix}/get-locale`)  
-        ]);  
-  
-        const languages = await languagesResponse.json();  
-        const currentLanguage = await currentLanguageResponse.text();  
-  
-        const languageSelect = document.getElementById('language');  
-        languages.forEach(lang => {  
-            const option = document.createElement('option');  
-            option.value = lang;  
-            option.textContent = lang;  
-            languageSelect.appendChild(option);  
-        });  
-  
-        const savedLanguage = localStorage.getItem("language") || currentLanguage;  
-        setLanguageOnPageLoad(savedLanguage);  
-    } catch (error) {  
-        console.error("Failed to fetch languages or current language");  
-    }  
-}  
-  
-function setLanguageOnPageLoad(language) {  
-    document.getElementById("language").value = language;  
-}  
-  
-function changeLanguage(lang) {  
-    fetch(`${url_prefix}/change-language`, {  
-        method: "POST",  
-        headers: {  
-            "Content-Type": "application/json",  
-        },  
-        body: JSON.stringify({ language: lang }),  
-    }).then((response) => {  
-        if (response.ok) {  
-            localStorage.setItem("language", lang);  
-            location.reload();  
-        } else {  
-            console.error("Failed to change language");  
-        }  
-    });  
-}  

chat_gpt_microservice/client/js/chat.js

@@ -1,84 +1,105 @@
 const query = (obj) =>
-	Object.keys(obj)
+  Object.keys(obj)
-		.map((k) => encodeURIComponent(k) + "=" + encodeURIComponent(obj[k]))
+    .map((k) => encodeURIComponent(k) + "=" + encodeURIComponent(obj[k]))
-		.join("&");
+    .join("&");
-const url_prefix = document.querySelector("body").getAttribute("data-urlprefix");
+const colorThemes = document.querySelectorAll('[name="theme"]');
 const markdown = window.markdownit();
 const message_box = document.getElementById(`messages`);
 const message_input = document.getElementById(`message-input`);
 const box_conversations = document.querySelector(`.top`);
 const spinner = box_conversations.querySelector(".spinner");
-const stop_generating = document.querySelector(`.stop-generating`);
+const stop_generating = document.querySelector(`.stop_generating`);
 const send_button = document.querySelector(`#send-button`);
-const user_image = `<img src="${url_prefix}/assets/img/user.png" alt="User Avatar">`;
-const gpt_image = `<img src="${url_prefix}/assets/img/gpt.png" alt="GPT Avatar">`;
 let prompt_lock = false;
 
 hljs.addPlugin(new CopyButtonPlugin());
 
+function resizeTextarea(textarea) {
+  textarea.style.height = '80px';
+  textarea.style.height = Math.min(textarea.scrollHeight, 200) + 'px';
+}
+
+const format = (text) => {
+  return text.replace(/(?:\r\n|\r|\n)/g, "<br>");
+};
+
 message_input.addEventListener("blur", () => {
-	window.scrollTo(0, 0);
+  window.scrollTo(0, 0);
 });
 
 message_input.addEventListener("focus", () => {
-	document.documentElement.scrollTop = document.documentElement.scrollHeight;
+  document.documentElement.scrollTop = document.documentElement.scrollHeight;
 });
 
 const delete_conversations = async () => {
-	localStorage.clear();
+  localStorage.clear();
-	await new_conversation();
+  await new_conversation();
 };
 
 const handle_ask = async () => {
-	message_input.style.height = `80px`;
+  message_input.style.height = `80px`;
-	window.scrollTo(0, 0);
+  message_input.focus();
-	let message = message_input.value;
 
-	if (message.length > 0) {
+  window.scrollTo(0, 0);
-		message_input.value = ``;
+  let message = message_input.value;
-		message_input.dispatchEvent(new Event("input"));
+
-		await ask_gpt(message);
+  if (message.length > 0) {
-	}
+    message_input.value = ``;
+    await ask_gpt(message);
+  }
 };
 
 const remove_cancel_button = async () => {
-	stop_generating.classList.add(`stop-generating-hiding`);
+  stop_generating.classList.add(`stop_generating-hiding`);
 
-	setTimeout(() => {
+  setTimeout(() => {
-		stop_generating.classList.remove(`stop-generating-hiding`);
+    stop_generating.classList.remove(`stop_generating-hiding`);
-		stop_generating.classList.add(`stop-generating-hidden`);
+    stop_generating.classList.add(`stop_generating-hidden`);
-	}, 300);
+  }, 300);
 };
 
 const ask_gpt = async (message) => {
-	try {
+  try {
-		message_input.value = ``;
+    message_input.value = ``;
-		message_input.innerHTML = ``;
+    message_input.innerHTML = ``;
-		message_input.innerText = ``;
+    message_input.innerText = ``;
 
-		add_conversation(window.conversation_id, message.substr(0, 16));
+    add_conversation(window.conversation_id, message.substr(0, 20));
-		window.scrollTo(0, 0);
+    window.scrollTo(0, 0);
-		window.controller = new AbortController();
+    window.controller = new AbortController();
 
-		jailbreak = document.getElementById("jailbreak");
+    jailbreak = document.getElementById("jailbreak");
-		model = document.getElementById("model");
+    model = document.getElementById("model");
-		prompt_lock = true;
+    prompt_lock = true;
-		window.text = ``;
+    window.text = ``;
-		window.token = message_id();
+    window.token = message_id();
 
-		stop_generating.classList.remove(`stop-generating-hidden`);
+    stop_generating.classList.remove(`stop_generating-hidden`);
 
-		add_user_message_box(message);
+    message_box.innerHTML += `
-
-		message_box.scrollTop = message_box.scrollHeight;
-		window.scrollTo(0, 0);
-		await new Promise((r) => setTimeout(r, 500));
-		window.scrollTo(0, 0);
-
-		message_box.innerHTML += `
             <div class="message">
-                <div class="avatar-container">
+                <div class="user">
-                    ${gpt_image}
+                    ${user_image}
+                    <i class="fa-regular fa-phone-arrow-up-right"></i>
+                </div>
+                <div class="content" id="user_${token}"> 
+                    ${format(message)}
+                </div>
+                <i class="fa fa-trash trash-icon" onclick="deleteMessage('${token}')"></i>
+            </div>
+        `;
+
+    /* .replace(/(?:\r\n|\r|\n)/g, '<br>') */
+
+    message_box.scrollTop = message_box.scrollHeight;
+    window.scrollTo(0, 0);
+    await new Promise((r) => setTimeout(r, 500));
+    window.scrollTo(0, 0);
+
+    message_box.innerHTML += `
+            <div class="message">
+                <div class="user">
+                    ${gpt_image} <i class="fa-regular fa-phone-arrow-down-left"></i>
                 </div>
                 <div class="content" id="gpt_${window.token}">
                     <div id="cursor"></div>
@@ -86,423 +107,493 @@ const ask_gpt = async (message) => {
             </div>
         `;
 
-		message_box.scrollTop = message_box.scrollHeight;
+    message_box.scrollTop = message_box.scrollHeight;
-		window.scrollTo(0, 0);
+    window.scrollTo(0, 0);
-		await new Promise((r) => setTimeout(r, 1000));
+    await new Promise((r) => setTimeout(r, 1000));
-		window.scrollTo(0, 0);
+    window.scrollTo(0, 0);
 
-		const response = await fetch(`${url_prefix}/backend-api/v2/conversation`, {
+    const response = await fetch(`/backend-api/v2/conversation`, {
-			method: `POST`,
+      method: `POST`,
-			signal: window.controller.signal,
+      signal: window.controller.signal,
-			headers: {
+      headers: {
-				"content-type": `application/json`,
+        "content-type": `application/json`,
-				accept: `text/event-stream`,
+        accept: `text/event-stream`,
-			},
+      },
-			body: JSON.stringify({
+      body: JSON.stringify({
-				conversation_id: window.conversation_id,
+        conversation_id: window.conversation_id,
-				action: `_ask`,
+        action: `_ask`,
-				model: model.options[model.selectedIndex].value,
+        model: model.options[model.selectedIndex].value,
-				jailbreak: jailbreak.options[jailbreak.selectedIndex].value,
+        jailbreak: jailbreak.options[jailbreak.selectedIndex].value,
-				meta: {
+        meta: {
-					id: window.token,
+          id: window.token,
-					content: {
+          content: {
-						conversation: await get_conversation(window.conversation_id),
+            conversation: await get_conversation(window.conversation_id),
-						internet_access: document.getElementById("switch").checked,
+            internet_access: document.getElementById("switch").checked,
-						content_type: "text",
+            content_type: "text",
-						parts: [
+            parts: [
-							{
+              {
-								content: message,
+                content: message,
-								role: "user",
+                role: "user",
-							},
+              },
-						],
+            ],
-					},
+          },
-				},
+        },
-			}),
+      }),
-		});
+    });
 
-		const reader = response.body.getReader();
+    const reader = response.body.getReader();
 
-		while (true) {
+    while (true) {
-			const { value, done } = await reader.read();
+      const { value, done } = await reader.read();
-			if (done) break;
+      if (done) break;
 
-			chunk = decodeUnicode(new TextDecoder().decode(value));
+      chunk = new TextDecoder().decode(value);
 
-			if (
+      if (
-				chunk.includes(`<form id="challenge-form" action="${url_prefix}/backend-api/v2/conversation?`)
+        chunk.includes(
-			) {
+          `<form id="challenge-form" action="/backend-api/v2/conversation?`
-				chunk = `cloudflare token expired, please refresh the page.`;
+        )
-			}
+      ) {
+        chunk = `cloudflare token expired, please refresh the page.`;
+      }
 
-			text += chunk;
+      text += chunk;
 
-			document.getElementById(`gpt_${window.token}`).innerHTML = markdown.render(text);
+      // const objects         = chunk.match(/({.+?})/g);
-			document.querySelectorAll(`code`).forEach((el) => {
-				hljs.highlightElement(el);
-			});
 
-			window.scrollTo(0, 0);
+      // try { if (JSON.parse(objects[0]).success === false) throw new Error(JSON.parse(objects[0]).error) } catch (e) {}
-			message_box.scrollTo({ top: message_box.scrollHeight, behavior: "auto" });
-		}
 
-		// if text contains :
+      // objects.forEach((object) => {
-		if (text.includes(`instead. Maintaining this website and API costs a lot of money`)) {
+      //     console.log(object)
-			document.getElementById(`gpt_${window.token}`).innerHTML =
+      //     try { text += h2a(JSON.parse(object).content) } catch(t) { console.log(t); throw new Error(t)}
-				"An error occurred, please reload / refresh cache and try again.";
+      // });
-		}
 
-		add_message(window.conversation_id, "user", message);
+      document.getElementById(`gpt_${window.token}`).innerHTML =
-		add_message(window.conversation_id, "assistant", text);
+        markdown.render(text);
+      document.querySelectorAll(`code`).forEach((el) => {
+        hljs.highlightElement(el);
+      });
 
-		message_box.scrollTop = message_box.scrollHeight;
+      window.scrollTo(0, 0);
-		await remove_cancel_button();
+      message_box.scrollTo({ top: message_box.scrollHeight, behavior: "auto" });
-		prompt_lock = false;
+    }
 
-		await load_conversations(20, 0);
+    // if text contains :
-		window.scrollTo(0, 0);
+    if (
-	} catch (e) {
+      text.includes(
-		add_message(window.conversation_id, "user", message);
+        `instead. Maintaining this website and API costs a lot of money`
+      )
+    ) {
+      document.getElementById(`gpt_${window.token}`).innerHTML =
+        "An error occured, please reload / refresh cache and try again.";
+    }
 
-		message_box.scrollTop = message_box.scrollHeight;
+    add_message(window.conversation_id, "user", message, token);
-		await remove_cancel_button();
+    add_message(window.conversation_id, "assistant", text, token);
-		prompt_lock = false;
 
-		await load_conversations(20, 0);
+    message_box.scrollTop = message_box.scrollHeight;
+    await remove_cancel_button();
+    prompt_lock = false;
 
-		console.log(e);
+    await load_conversations(20, 0);
+    window.scrollTo(0, 0);
+  } catch (e) {
+    add_message(window.conversation_id, "user", message, token);
 
-		let cursorDiv = document.getElementById(`cursor`);
+    message_box.scrollTop = message_box.scrollHeight;
-		if (cursorDiv) cursorDiv.parentNode.removeChild(cursorDiv);
+    await remove_cancel_button();
+    prompt_lock = false;
 
-		if (e.name != `AbortError`) {
+    await load_conversations(20, 0);
-			let error_message = `oops ! something went wrong, please try again / reload. [stacktrace in console]`;
 
-			document.getElementById(`gpt_${window.token}`).innerHTML = error_message;
+    console.log(e);
-			add_message(window.conversation_id, "assistant", error_message);
-		} else {
-			document.getElementById(`gpt_${window.token}`).innerHTML += ` [aborted]`;
-			add_message(window.conversation_id, "assistant", text + ` [aborted]`);
-		}
 
-		window.scrollTo(0, 0);
+    let cursorDiv = document.getElementById(`cursor`);
-	}
+    if (cursorDiv) cursorDiv.parentNode.removeChild(cursorDiv);
-};
 
-const add_user_message_box = (message) => {
+    if (e.name != `AbortError`) {
-	const messageDiv = createElement("div", { classNames: ["message"] });
+      let error_message = `oops ! something went wrong, please try again / reload. [stacktrace in console]`;
-	const avatarContainer = createElement("div", { classNames: ["avatar-container"], innerHTML: user_image });
-	const contentDiv = createElement("div", {
-		classNames: ["content"],
-		id: `user_${token}`,
-		textContent: message,
-	});
 
-	messageDiv.append(avatarContainer, contentDiv);
+      document.getElementById(`gpt_${window.token}`).innerHTML = error_message;
-	message_box.appendChild(messageDiv);
+      add_message(window.conversation_id, "assistant", error_message, token);
-};
+    } else {
+      document.getElementById(`gpt_${window.token}`).innerHTML += ` [aborted]`;
+      add_message(window.conversation_id, "assistant", text + ` [aborted]`, token);
+    }
 
-const decodeUnicode = (str) => {
+    window.scrollTo(0, 0);
-	return str.replace(/\\u([a-fA-F0-9]{4})/g, function (match, grp) {
+  }
-		return String.fromCharCode(parseInt(grp, 16));
-	});
 };
 
 const clear_conversations = async () => {
-	const elements = box_conversations.childNodes;
+  const elements = box_conversations.childNodes;
-	let index = elements.length;
+  let index = elements.length;
 
-	if (index > 0) {
+  if (index > 0) {
-		while (index--) {
+    while (index--) {
-			const element = elements[index];
+      const element = elements[index];
-			if (element.nodeType === Node.ELEMENT_NODE && element.tagName.toLowerCase() !== `button`) {
+      if (
-				box_conversations.removeChild(element);
+        element.nodeType === Node.ELEMENT_NODE &&
-			}
+        element.tagName.toLowerCase() !== `button`
-		}
+      ) {
-	}
+        box_conversations.removeChild(element);
+      }
+    }
+  }
 };
 
 const clear_conversation = async () => {
-	let messages = message_box.getElementsByTagName(`div`);
+  let messages = message_box.getElementsByTagName(`div`);
 
-	while (messages.length > 0) {
+  while (messages.length > 0) {
-		message_box.removeChild(messages[0]);
+    message_box.removeChild(messages[0]);
-	}
+  }
 };
 
+const show_option = async (conversation_id) => {
+  const conv = document.getElementById(`conv-${conversation_id}`);
+  const yes = document.getElementById(`yes-${conversation_id}`);
+  const not = document.getElementById(`not-${conversation_id}`);
+
+  conv.style.display = "none";
+  yes.style.display = "block";
+  not.style.display = "block"; 
+}
+
+const hide_option = async (conversation_id) => {
+  const conv = document.getElementById(`conv-${conversation_id}`);
+  const yes = document.getElementById(`yes-${conversation_id}`);
+  const not = document.getElementById(`not-${conversation_id}`);
+
+  conv.style.display = "block";
+  yes.style.display = "none";
+  not.style.display = "none"; 
+}
+
 const delete_conversation = async (conversation_id) => {
-	localStorage.removeItem(`conversation:${conversation_id}`);
+  localStorage.removeItem(`conversation:${conversation_id}`);
 
-	if (window.conversation_id == conversation_id) {
+  const conversation = document.getElementById(`convo-${conversation_id}`);
-		await new_conversation();
+    conversation.remove();
-	}
 
-	await load_conversations(20, 0, true);
+  if (window.conversation_id == conversation_id) {
+    await new_conversation();
+  }
+
+  await load_conversations(20, 0, true);
 };
 
 const set_conversation = async (conversation_id) => {
-	history.pushState({}, null, `${url_prefix}/chat/${conversation_id}`);
+  history.pushState({}, null, `{{chat_path}}/${conversation_id}`);
-	window.conversation_id = conversation_id;
+  window.conversation_id = conversation_id;
 
-	await clear_conversation();
+  await clear_conversation();
-	await load_conversation(conversation_id);
+  await load_conversation(conversation_id);
-	await load_conversations(20, 0, true);
+  await load_conversations(20, 0, true);
 };
 
 const new_conversation = async () => {
-	history.pushState({}, null, `${url_prefix}/chat/`);
+  history.pushState({}, null, `{{chat_path}}/`);
-	window.conversation_id = uuid();
+  window.conversation_id = uuid();
 
-	await clear_conversation();
+  await clear_conversation();
-	await load_conversations(20, 0, true);
+  await load_conversations(20, 0, true);
 };
 
 const load_conversation = async (conversation_id) => {
-	let conversation = await JSON.parse(localStorage.getItem(`conversation:${conversation_id}`));
+  let conversation = await JSON.parse(
-	console.log(conversation, conversation_id);
+    localStorage.getItem(`conversation:${conversation_id}`)
+  );
+  console.log(conversation, conversation_id);
 
-	for (item of conversation.items) {
+  for (item of conversation.items) {
-		if (is_assistant(item.role)) {
+    message_box.innerHTML += `
-			message_box.innerHTML += load_gpt_message_box(item.content);
-		} else {
-			message_box.innerHTML += load_user_message_box(item.content);
-		}
-	}
-
-	document.querySelectorAll(`code`).forEach((el) => {
-		hljs.highlightElement(el);
-	});
-
-	message_box.scrollTo({ top: message_box.scrollHeight, behavior: "smooth" });
-
-	setTimeout(() => {
-		message_box.scrollTop = message_box.scrollHeight;
-	}, 500);
-};
-
-const load_user_message_box = (content) => {
-	const messageDiv = createElement("div", { classNames: ["message"] });
-	const avatarContainer = createElement("div", { classNames: ["avatar-container"], innerHTML: user_image });
-	const contentDiv = createElement("div", { classNames: ["content"] });
-	const preElement = document.createElement("pre");
-	preElement.textContent = content;
-	contentDiv.appendChild(preElement);
-
-	messageDiv.append(avatarContainer, contentDiv);
-
-	return messageDiv.outerHTML;
-};
-
-const load_gpt_message_box = (content) => {
-	return `
             <div class="message">
-                <div class="avatar-container">
+                <div class="user">
-                    ${gpt_image}
+                    ${item.role == "assistant" ? gpt_image : user_image}
+                    ${
+                      item.role == "assistant"
+                        ? `<i class="fa-regular fa-phone-arrow-down-left"></i>`
+                        : `<i class="fa-regular fa-phone-arrow-up-right"></i>`
+                    }
                 </div>
-                <div class="content">
+               ${
-                    ${markdown.render(content)}
+                  item.role == "user"
+                    ? `<div class="content" id="user_${item.token}">`
+                    : `<div class="content" id="gpt_${item.token}">`
+                }
+                    ${
+                      item.role == "assistant"
+                        ? markdown.render(item.content)
+                        : item.content
+                    }
                 </div>
+                  ${
+                    item.role == "user"
+                    ? `<i class="fa fa-trash trash-icon" onclick="deleteMessage('${item.token}')"></i>`
+                    : ''
+                   }                
             </div>
         `;
-};
+  }
 
-const is_assistant = (role) => {
+  document.querySelectorAll(`code`).forEach((el) => {
-	return role == "assistant";
+    hljs.highlightElement(el);
+  });
+
+  message_box.scrollTo({ top: message_box.scrollHeight, behavior: "smooth" });
+
+  setTimeout(() => {
+    message_box.scrollTop = message_box.scrollHeight;
+  }, 500);
 };
 
 const get_conversation = async (conversation_id) => {
-	let conversation = await JSON.parse(localStorage.getItem(`conversation:${conversation_id}`));
+  let conversation = await JSON.parse(
-	return conversation.items;
+    localStorage.getItem(`conversation:${conversation_id}`)
+  );
+  let result = conversation.items.slice(-4)
+  for (var i = 0; i < result.length; i++) {
+    delete result[i].token;
+    console.log(result[i]);
+    console.log(result[i]);
+  }
+  return result;
 };
 
 const add_conversation = async (conversation_id, title) => {
-	if (localStorage.getItem(`conversation:${conversation_id}`) == null) {
+  if (localStorage.getItem(`conversation:${conversation_id}`) == null) {
-		localStorage.setItem(
+    localStorage.setItem(
-			`conversation:${conversation_id}`,
+      `conversation:${conversation_id}`,
-			JSON.stringify({
+      JSON.stringify({
-				id: conversation_id,
+        id: conversation_id,
-				title: title,
+        title: title,
-				items: [],
+        items: [],
-			})
+      })
-		);
+    );
-	}
+  }
 };
 
-const add_message = async (conversation_id, role, content) => {
+const add_message = async (conversation_id, role, content, token) => {
-	before_adding = JSON.parse(localStorage.getItem(`conversation:${conversation_id}`));
+  before_adding = JSON.parse(
+    localStorage.getItem(`conversation:${conversation_id}`)
+  );
 
-	before_adding.items.push({
+  before_adding.items.push({
-		role: role,
+    role: role,
-		content: content,
+    content: content,
-	});
+    token: token,
+  });
 
-	localStorage.setItem(`conversation:${conversation_id}`, JSON.stringify(before_adding)); // update conversation
+  localStorage.setItem(
+    `conversation:${conversation_id}`,
+    JSON.stringify(before_adding)
+  ); // update conversation
 };
 
 const load_conversations = async (limit, offset, loader) => {
-	//console.log(loader);
+  //console.log(loader);
-	//if (loader === undefined) box_conversations.appendChild(spinner);
+  //if (loader === undefined) box_conversations.appendChild(spinner);
 
-	let conversations = [];
+  let conversations = [];
-	for (let i = 0; i < localStorage.length; i++) {
+  for (let i = 0; i < localStorage.length; i++) {
-		if (localStorage.key(i).startsWith("conversation:")) {
+    if (localStorage.key(i).startsWith("conversation:")) {
-			let conversation = localStorage.getItem(localStorage.key(i));
+      let conversation = localStorage.getItem(localStorage.key(i));
-			conversations.push(JSON.parse(conversation));
+      conversations.push(JSON.parse(conversation));
-		}
+    }
-	}
+  }
 
-	//if (loader === undefined) spinner.parentNode.removeChild(spinner)
+  //if (loader === undefined) spinner.parentNode.removeChild(spinner)
-	await clear_conversations();
+  await clear_conversations();
 
-	for (conversation of conversations) {
+  for (conversation of conversations) {
-		box_conversations.innerHTML += `
+    box_conversations.innerHTML += `
-            <div class="conversation-sidebar">
+    <div class="convo" id="convo-${conversation.id}">
-                <div class="left" onclick="set_conversation('${conversation.id}')">
+      <div class="left" onclick="set_conversation('${conversation.id}')">
-                    <i class="fa-regular fa-comments"></i>
+          <i class="fa-regular fa-comments"></i>
-                    <span class="conversation-title">${conversation.title}</span>
+          <span class="convo-title">${conversation.title}</span>
-                </div>
+      </div>
-                <i onclick="delete_conversation('${conversation.id}')" class="fa-regular fa-trash"></i>
+      <i onclick="show_option('${conversation.id}')" class="fa-regular fa-trash" id="conv-${conversation.id}"></i>
-            </div>
+      <i onclick="delete_conversation('${conversation.id}')" class="fa-regular fa-check" id="yes-${conversation.id}" style="display:none;"></i>
-        `;
+      <i onclick="hide_option('${conversation.id}')" class="fa-regular fa-x" id="not-${conversation.id}" style="display:none;"></i>
-	}
+    </div>
+    `;
+  }
 
-	document.querySelectorAll(`code`).forEach((el) => {
+  document.querySelectorAll(`code`).forEach((el) => {
-		hljs.highlightElement(el);
+    hljs.highlightElement(el);
-	});
+  });
 };
 
 document.getElementById(`cancelButton`).addEventListener(`click`, async () => {
-	window.controller.abort();
+  window.controller.abort();
-	console.log(`aborted ${window.conversation_id}`);
+  console.log(`aborted ${window.conversation_id}`);
 });
 
 function h2a(str1) {
-	var hex = str1.toString();
+  var hex = str1.toString();
-	var str = "";
+  var str = "";
 
-	for (var n = 0; n < hex.length; n += 2) {
+  for (var n = 0; n < hex.length; n += 2) {
-		str += String.fromCharCode(parseInt(hex.substr(n, 2), 16));
+    str += String.fromCharCode(parseInt(hex.substr(n, 2), 16));
-	}
+  }
 
-	return str;
+  return str;
 }
 
 const uuid = () => {
-	return `xxxxxxxx-xxxx-4xxx-yxxx-${Date.now().toString(16)}`.replace(/[xy]/g, function (c) {
+  return `xxxxxxxx-xxxx-4xxx-yxxx-${Date.now().toString(16)}`.replace(
-		var r = (Math.random() * 16) | 0,
+    /[xy]/g,
-			v = c == "x" ? r : (r & 0x3) | 0x8;
+    function (c) {
-		return v.toString(16);
+      var r = (Math.random() * 16) | 0,
-	});
+        v = c == "x" ? r : (r & 0x3) | 0x8;
+      return v.toString(16);
+    }
+  );
 };
 
 const message_id = () => {
-	random_bytes = (Math.floor(Math.random() * 1338377565) + 2956589730).toString(2);
+  random_bytes = (Math.floor(Math.random() * 1338377565) + 2956589730).toString(
-	unix = Math.floor(Date.now() / 1000).toString(2);
+    2
+  );
+  unix = Math.floor(Date.now() / 1000).toString(2);
 
-	return BigInt(`0b${unix}${random_bytes}`).toString();
+  return BigInt(`0b${unix}${random_bytes}`).toString();
 };
 
 window.onload = async () => {
-	load_settings_localstorage();
+  load_settings_localstorage();
 
-	conversations = 0;
+  conversations = 0;
-	for (let i = 0; i < localStorage.length; i++) {
+  for (let i = 0; i < localStorage.length; i++) {
-		if (localStorage.key(i).startsWith("conversation:")) {
+    if (localStorage.key(i).startsWith("conversation:")) {
-			conversations += 1;
+      conversations += 1;
-		}
+    }
-	}
+  }
 
-	if (conversations == 0) localStorage.clear();
+  if (conversations == 0) localStorage.clear();
 
-	await setTimeout(() => {
+  await setTimeout(() => {
-		load_conversations(20, 0);
+    load_conversations(20, 0);
-	}, 1);
+  }, 1);
 
-	if (!window.location.href.endsWith(`#`)) {
+  if (!window.location.href.endsWith(`#`)) {
-		if (/\/chat\/.+/.test(window.location.href.slice(url_prefix.length))) {
+    if (/\{{chat_path}}\/.+/.test(window.location.href)) {
-			await load_conversation(window.conversation_id);
+      await load_conversation(window.conversation_id);
-		}
+    }
-	}
+  }
 
-	message_input.addEventListener("keydown", async (evt) => {
+message_input.addEventListener(`keydown`, async (evt) => {
-		if (prompt_lock) return;
+    if (prompt_lock) return;
+    if (evt.keyCode === 13 && !evt.shiftKey) {
+        evt.preventDefault();
+        console.log('pressed enter');
+        await handle_ask();
+    } else {
+      message_input.style.removeProperty("height");
+      message_input.style.height = message_input.scrollHeight + 4 + "px";
+    }
+  });
 
-		if (evt.key === "Enter" && !evt.shiftKey) {
+  send_button.addEventListener(`click`, async () => {
-			evt.preventDefault();
+    console.log("clicked send");
-			await handle_ask();
+    if (prompt_lock) return;
-		}
+    await handle_ask();
-	});
+  });
 
-	send_button.addEventListener("click", async (event) => {
+  register_settings_localstorage();
-		event.preventDefault();
-		if (prompt_lock) return;
-		message_input.blur();
-		await handle_ask();
-	});
-
-	register_settings_localstorage();
 };
 
+document.querySelector(".mobile-sidebar").addEventListener("click", (event) => {
+  const sidebar = document.querySelector(".conversations");
+
+  if (sidebar.classList.contains("shown")) {
+    sidebar.classList.remove("shown");
+    event.target.classList.remove("rotated");
+  } else {
+    sidebar.classList.add("shown");
+    event.target.classList.add("rotated");
+  }
+
+  window.scrollTo(0, 0);
+});
+
 const register_settings_localstorage = async () => {
-	settings_ids = ["switch", "model", "jailbreak"];
+  settings_ids = ["switch", "model", "jailbreak"];
-	settings_elements = settings_ids.map((id) => document.getElementById(id));
+  settings_elements = settings_ids.map((id) => document.getElementById(id));
-	settings_elements.map((element) =>
+  settings_elements.map((element) =>
-		element.addEventListener(`change`, async (event) => {
+    element.addEventListener(`change`, async (event) => {
-			switch (event.target.type) {
+      switch (event.target.type) {
-				case "checkbox":
+        case "checkbox":
-					localStorage.setItem(event.target.id, event.target.checked);
+          localStorage.setItem(event.target.id, event.target.checked);
-					break;
+          break;
-				case "select-one":
+        case "select-one":
-					localStorage.setItem(event.target.id, event.target.selectedIndex);
+          localStorage.setItem(event.target.id, event.target.selectedIndex);
-					break;
+          break;
-				default:
+        default:
-					console.warn("Unresolved element type");
+          console.warn("Unresolved element type");
-			}
+      }
-		})
+    })
-	);
+  );
 };
 
 const load_settings_localstorage = async () => {
-	settings_ids = ["switch", "model", "jailbreak"];
+  settings_ids = ["switch", "model", "jailbreak"];
-	settings_elements = settings_ids.map((id) => document.getElementById(id));
+  settings_elements = settings_ids.map((id) => document.getElementById(id));
-	settings_elements.map((element) => {
+  settings_elements.map((element) => {
-		if (localStorage.getItem(element.id)) {
+    if (localStorage.getItem(element.id)) {
-			switch (element.type) {
+      switch (element.type) {
-				case "checkbox":
+        case "checkbox":
-					element.checked = localStorage.getItem(element.id) === "true";
+          element.checked = localStorage.getItem(element.id) === "true";
-					break;
+          break;
-				case "select-one":
+        case "select-one":
-					element.selectedIndex = parseInt(localStorage.getItem(element.id));
+          element.selectedIndex = parseInt(localStorage.getItem(element.id));
-					break;
+          break;
-				default:
+        default:
-					console.warn("Unresolved element type");
+          console.warn("Unresolved element type");
-			}
+      }
-		}
+    }
-	});
+  });
 };
 
-function clearTextarea(textarea) {
+// Theme storage for recurring viewers
-	textarea.style.removeProperty("height");
+const storeTheme = function (theme) {
-	textarea.style.height = `${textarea.scrollHeight + 4}px`;
+  localStorage.setItem("theme", theme);
-	if (textarea.value.trim() === "" && textarea.value.includes("\n")) {
+};
-		textarea.value = "";
+
-	}
+// set theme when visitor returns
+const setTheme = function () {
+  const activeTheme = localStorage.getItem("theme");
+  colorThemes.forEach((themeOption) => {
+    if (themeOption.id === activeTheme) {
+      themeOption.checked = true;
+    }
+  });
+  // fallback for no :has() support
+  document.documentElement.className = activeTheme;
+};
+
+colorThemes.forEach((themeOption) => {
+  themeOption.addEventListener("click", () => {
+    storeTheme(themeOption.id);
+    // fallback for no :has() support
+    document.documentElement.className = themeOption.id;
+  });
+});
+
+function deleteMessage(token) {
+  const messageDivUser = document.getElementById(`user_${token}`)
+  const messageDivGpt = document.getElementById(`gpt_${token}`)
+  if (messageDivUser) messageDivUser.parentNode.remove();
+  if (messageDivGpt) messageDivGpt.parentNode.remove();
+  const conversation = JSON.parse(localStorage.getItem(`conversation:${window.conversation_id}`));
+  conversation.items = conversation.items.filter(item => item.token !== token);
+  localStorage.setItem(`conversation:${window.conversation_id}`, JSON.stringify(conversation));
+
+  const messages = document.getElementsByClassName("message");
+  if (messages.length === 0) {
+    delete_conversation(window.conversation_id);
+  };
 }
 
-function createElement(tag, { classNames, id, innerHTML, textContent } = {}) {
+document.onload = setTheme();
-	const el = document.createElement(tag);
-	if (classNames) {
-		el.classList.add(...classNames);
-	}
-	if (id) {
-		el.id = id;
-	}
-	if (innerHTML) {
-		el.innerHTML = innerHTML;
-	}
-	if (textContent) {
-		const preElement = document.createElement("pre");
-		preElement.textContent = textContent;
-		el.appendChild(preElement);
-	}
-	return el;
-}

chat_gpt_microservice/client/js/sidebar-toggler.js

@@ -1,34 +0,0 @@
-const sidebar = document.querySelector(".sidebar");
-const menuButton = document.querySelector(".menu-button");
-
-function toggleSidebar(event) {
-    if (sidebar.classList.contains("shown")) {
-        hideSidebar(event.target);
-    } else {
-        showSidebar(event.target);
-    }
-    window.scrollTo(0, 0);
-}
-
-function showSidebar(target) {
-    sidebar.classList.add("shown");
-    target.classList.add("rotated");
-    document.body.style.overflow = "hidden";
-}
-
-function hideSidebar(target) {
-    sidebar.classList.remove("shown");
-    target.classList.remove("rotated");
-    document.body.style.overflow = "auto";
-}
-
-menuButton.addEventListener("click", toggleSidebar);
-
-document.body.addEventListener('click', function(event) {
-    if (event.target.matches('.conversation-title')) {
-        const menuButtonStyle = window.getComputedStyle(menuButton);
-        if (menuButtonStyle.display !== 'none') {
-            hideSidebar(menuButton);
-        }
-    }
-});

chat_gpt_microservice/client/js/theme-toggler.js

@@ -1,22 +0,0 @@
-var switch_theme_toggler = document.getElementById("theme-toggler");
-
-switch_theme_toggler.addEventListener("change", toggleTheme);
-
-function setTheme(themeName) {
-	localStorage.setItem("theme", themeName);
-	document.documentElement.className = themeName;
-}
-
-function toggleTheme() {
-	var currentTheme = localStorage.getItem("theme");
-	var newTheme = currentTheme === "theme-dark" ? "theme-light" : "theme-dark";
-
-	setTheme(newTheme);
-	switch_theme_toggler.checked = newTheme === "theme-dark";
-}
-
-(function () {
-	var currentTheme = localStorage.getItem("theme") || "theme-dark";
-	setTheme(currentTheme);
-	switch_theme_toggler.checked = currentTheme === "theme-dark";
-})();

chat_gpt_microservice/config.json

@@ -1,8 +0,0 @@
-{
-	"site_config": {
-		"host": "0.0.0.0",
-		"port": 1338,
-		"debug": false
-	},
-	"url_prefix": "/gpt"
-}

chat_gpt_microservice/docker-compose.yml

@@ -1,38 +0,0 @@
-version: "3.9"
-
-networks:
-  chat_gpt_network:
-    name: "chat_gpt_network"
-
-services:
-
-  chat-gpt-caddy:
-    image: caddy:2.7.4
-    container_name: "chat_gpt_caddy"
-    restart: unless-stopped
-    networks:
-      - chat_gpt_network
-    environment:
-      - TZ=Europe/Moscow
-    ports:
-      - "8081:8080"
-    volumes:
-      - ./Caddyfile:/etc/caddy/Caddyfile:ro
-      - /etc/localtime:/etc/localtime:ro
-
-  chat-gpt:
-    image: balsh_chat_gpt:latest #ramonvc/freegpt-webui:latest
-    container_name: "chat_gpt"
-    build:
-      context: .
-      dockerfile: Dockerfile
-    hostname: "chat_gpt"
-    networks:
-      - chat_gpt_network
-    volumes:
-      - ./client:/client
-    depends_on:
-      - chat-gpt-caddy
-    expose:
-      - "1338"
-    restart: unless-stopped

chat_gpt_microservice/g4f/Provider/Provider.py

@@ -1,19 +0,0 @@
-import os
-from typing import get_type_hints
-
-url = None
-model = None
-supports_stream = False
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    return
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/AiService.py

@@ -1,41 +0,0 @@
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://aiservice.vercel.app/api/chat/answer"
-model = ["gpt-3.5-turbo"]
-supports_stream = False
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    base = ""
-    for message in messages:
-        base += "%s: %s\n" % (message["role"], message["content"])
-    base += "assistant:"
-
-    headers = {
-        "accept": "*/*",
-        "content-type": "text/plain;charset=UTF-8",
-        "sec-fetch-dest": "empty",
-        "sec-fetch-mode": "cors",
-        "sec-fetch-site": "same-origin",
-        "Referer": "https://aiservice.vercel.app/chat",
-    }
-    data = {"input": base}
-    response = requests.post(url, headers=headers, json=data)
-    if response.status_code == 200:
-        _json = response.json()
-        yield _json["data"]
-    else:
-        print(f"Error Occurred::{response.status_code}")
-        return None
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Aichat.py

@@ -1,46 +0,0 @@
-import json
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://hteyun.com"
-model = [
-    "gpt-3.5-turbo",
-    "gpt-3.5-turbo-16k",
-    "gpt-3.5-turbo-16k-0613",
-    "gpt-3.5-turbo-0613",
-]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, temperature: float = 0.7, **kwargs):
-    headers = {
-        "Content-Type": "application/json",
-    }
-    data = {
-        "model": model,
-        "temperature": 0.7,
-        "presence_penalty": 0,
-        "messages": messages,
-    }
-    response = requests.post(url + "/api/chat-stream", json=data, stream=True)
-
-    if stream:
-        for chunk in response.iter_content(chunk_size=None):
-            chunk = chunk.decode("utf-8")
-            if chunk.strip():
-                message = json.loads(chunk)["choices"][0]["message"]["content"]
-                yield message
-    else:
-        message = response.json()["choices"][0]["message"]["content"]
-        yield message
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Ails.py

@@ -1,96 +0,0 @@
-import hashlib
-import json
-import os
-import time
-import uuid
-from datetime import datetime
-from typing import Dict, get_type_hints
-
-import requests
-from g4f.typing import sha256
-
-url: str = "https://ai.ls"
-model: str = "gpt-3.5-turbo"
-supports_stream = True
-needs_auth = False
-working = True
-
-
-class Utils:
-    def hash(json_data: Dict[str, str]) -> sha256:
-        base_string: str = "%s:%s:%s:%s" % (
-            json_data["t"],
-            json_data["m"],
-            "WI,2rU#_r:r~aF4aJ36[.Z(/8Rv93Rf",
-            len(json_data["m"]),
-        )
-
-        return hashlib.sha256(base_string.encode()).hexdigest()
-
-    def format_timestamp(timestamp: int) -> str:
-        e = timestamp
-        n = e % 10
-        r = n + 1 if n % 2 == 0 else n
-        return str(e - n + r)
-
-
-def _create_completion(model: str, messages: list, temperature: float = 0.6, stream: bool = False, **kwargs):
-    headers = {
-        "authority": "api.caipacity.com",
-        "accept": "*/*",
-        "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
-        "authorization": "Bearer free",
-        "client-id": str(uuid.uuid4()),
-        "client-v": "0.1.249",
-        "content-type": "application/json",
-        "origin": "https://ai.ls",
-        "referer": "https://ai.ls/",
-        "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
-        "sec-ch-ua-mobile": "?0",
-        "sec-ch-ua-platform": '"Windows"',
-        "sec-fetch-dest": "empty",
-        "sec-fetch-mode": "cors",
-        "sec-fetch-site": "cross-site",
-        "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-    }
-
-    timestamp = Utils.format_timestamp(int(time.time() * 1000))
-
-    sig = {
-        "d": datetime.now().strftime("%Y-%m-%d"),
-        "t": timestamp,
-        "s": Utils.hash({"t": timestamp, "m": messages[-1]["content"]}),
-    }
-
-    json_data = json.dumps(
-        separators=(",", ":"),
-        obj={
-            "model": "gpt-3.5-turbo",
-            "temperature": 0.6,
-            "stream": True,
-            "messages": messages,
-        }
-        | sig,
-    )
-
-    response = requests.post(
-        "https://api.caipacity.com/v1/chat/completions",
-        headers=headers,
-        data=json_data,
-        stream=True,
-    )
-
-    for token in response.iter_lines():
-        if b"content" in token:
-            completion_chunk = json.loads(token.decode().replace("data: ", ""))
-            token = completion_chunk["choices"][0]["delta"].get("content")
-            if token != None:
-                yield token
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Bard.py

@@ -1,87 +0,0 @@
-import json
-import os
-import random
-import re
-from typing import get_type_hints
-
-import browser_cookie3
-import requests
-
-url = "https://bard.google.com"
-model = ["Palm2"]
-supports_stream = False
-needs_auth = True
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    psid = {cookie.name: cookie.value for cookie in browser_cookie3.chrome(domain_name=".google.com")}["__Secure-1PSID"]
-
-    formatted = "\n".join(["%s: %s" % (message["role"], message["content"]) for message in messages])
-    prompt = f"{formatted}\nAssistant:"
-
-    proxy = kwargs.get("proxy", False)
-    if proxy == False:
-        print("warning!, you did not give a proxy, a lot of countries are banned from Google Bard, so it may not work")
-
-    snlm0e = None
-    conversation_id = None
-    response_id = None
-    choice_id = None
-
-    client = requests.Session()
-    client.proxies = {"http": f"http://{proxy}", "https": f"http://{proxy}"} if proxy else None
-
-    client.headers = {
-        "authority": "bard.google.com",
-        "content-type": "application/x-www-form-urlencoded;charset=UTF-8",
-        "origin": "https://bard.google.com",
-        "referer": "https://bard.google.com/",
-        "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36",
-        "x-same-domain": "1",
-        "cookie": f"__Secure-1PSID={psid}",
-    }
-
-    snlm0e = (
-        re.search(r"SNlM0e\":\"(.*?)\"", client.get("https://bard.google.com/").text).group(1) if not snlm0e else snlm0e
-    )
-
-    params = {
-        "bl": "boq_assistant-bard-web-server_20230326.21_p0",
-        "_reqid": random.randint(1111, 9999),
-        "rt": "c",
-    }
-
-    data = {
-        "at": snlm0e,
-        "f.req": json.dumps(
-            [
-                None,
-                json.dumps([[prompt], None, [conversation_id, response_id, choice_id]]),
-            ]
-        ),
-    }
-
-    intents = ".".join(["assistant", "lamda", "BardFrontendService"])
-
-    response = client.post(
-        f"https://bard.google.com/_/BardChatUi/data/{intents}/StreamGenerate",
-        data=data,
-        params=params,
-    )
-
-    chat_data = json.loads(response.content.splitlines()[3])[0][2]
-    if chat_data:
-        json_chat_data = json.loads(chat_data)
-
-        yield json_chat_data[0][0]
-
-    else:
-        yield "error"
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Better.py

@@ -1,64 +0,0 @@
-import json
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://openai-proxy-api.vercel.app/v1/"
-model = [
-    "gpt-3.5-turbo",
-    "gpt-3.5-turbo-0613",
-    "gpt-3.5-turbo-16k",
-    "gpt-3.5-turbo-16k-0613",
-    "gpt-4",
-]
-
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    headers = {
-        "Content-Type": "application/json",
-        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36 Edg/114.0.1823.58",
-        "Referer": "https://chat.ylokh.xyz/",
-        "Origin": "https://chat.ylokh.xyz",
-        "Connection": "keep-alive",
-    }
-
-    json_data = {
-        "messages": messages,
-        "temperature": 1.0,
-        "model": model,
-        "stream": stream,
-    }
-
-    response = requests.post(
-        "https://openai-proxy-api.vercel.app/v1/chat/completions",
-        headers=headers,
-        json=json_data,
-        stream=True,
-    )
-
-    for token in response.iter_lines():
-        decoded = token.decode("utf-8")
-        if decoded.startswith("data: "):
-            data_str = decoded.replace("data: ", "")
-            data = json.loads(data_str)
-            if "choices" in data and "delta" in data["choices"][0]:
-                delta = data["choices"][0]["delta"]
-                content = delta.get("content", "")
-                finish_reason = delta.get("finish_reason", "")
-
-                if finish_reason == "stop":
-                    break
-                if content:
-                    yield content
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Bing.py

@@ -1,355 +0,0 @@
-import asyncio
-import json
-import os
-import random
-import ssl
-import uuid
-from typing import get_type_hints
-
-import aiohttp
-import certifi
-import requests
-
-url = "https://bing.com/chat"
-model = ["gpt-4"]
-supports_stream = True
-needs_auth = False
-
-ssl_context = ssl.create_default_context()
-ssl_context.load_verify_locations(certifi.where())
-
-
-class optionsSets:
-    optionSet: dict = {"tone": str, "optionsSets": list}
-
-    jailbreak: dict = {
-        "optionsSets": [
-            "saharasugg",
-            "enablenewsfc",
-            "clgalileo",
-            "gencontentv3",
-            "nlu_direct_response_filter",
-            "deepleo",
-            "disable_emoji_spoken_text",
-            "responsible_ai_policy_235",
-            "enablemm",
-            "h3precise"
-            # "harmonyv3",
-            "dtappid",
-            "cricinfo",
-            "cricinfov2",
-            "dv3sugg",
-            "nojbfedge",
-        ]
-    }
-
-
-class Defaults:
-    delimiter = "\x1e"
-    ip_address = f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}"
-
-    allowedMessageTypes = [
-        "Chat",
-        "Disengaged",
-        "AdsQuery",
-        "SemanticSerp",
-        "GenerateContentQuery",
-        "SearchQuery",
-        "ActionRequest",
-        "Context",
-        "Progress",
-        "AdsQuery",
-        "SemanticSerp",
-    ]
-
-    sliceIds = [
-        # "222dtappid",
-        # "225cricinfo",
-        # "224locals0"
-        "winmuid3tf",
-        "osbsdusgreccf",
-        "ttstmout",
-        "crchatrev",
-        "winlongmsgtf",
-        "ctrlworkpay",
-        "norespwtf",
-        "tempcacheread",
-        "temptacache",
-        "505scss0",
-        "508jbcars0",
-        "515enbotdets0",
-        "5082tsports",
-        "515vaoprvs",
-        "424dagslnv1s0",
-        "kcimgattcf",
-        "427startpms0",
-    ]
-
-    location = {
-        "locale": "en-US",
-        "market": "en-US",
-        "region": "US",
-        "locationHints": [
-            {
-                "country": "United States",
-                "state": "California",
-                "city": "Los Angeles",
-                "timezoneoffset": 8,
-                "countryConfidence": 8,
-                "Center": {"Latitude": 34.0536909, "Longitude": -118.242766},
-                "RegionType": 2,
-                "SourceType": 1,
-            }
-        ],
-    }
-
-
-def _format(msg: dict) -> str:
-    return json.dumps(msg, ensure_ascii=False) + Defaults.delimiter
-
-
-async def create_conversation():
-    for _ in range(5):
-        create = requests.get(
-            "https://www.bing.com/turing/conversation/create",
-            headers={
-                "authority": "edgeservices.bing.com",
-                "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
-                "accept-language": "en-US,en;q=0.9",
-                "cache-control": "max-age=0",
-                "sec-ch-ua": '"Chromium";v="110", "Not A(Brand";v="24", "Microsoft Edge";v="110"',
-                "sec-ch-ua-arch": '"x86"',
-                "sec-ch-ua-bitness": '"64"',
-                "sec-ch-ua-full-version": '"110.0.1587.69"',
-                "sec-ch-ua-full-version-list": '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
-                "sec-ch-ua-mobile": "?0",
-                "sec-ch-ua-model": '""',
-                "sec-ch-ua-platform": '"Windows"',
-                "sec-ch-ua-platform-version": '"15.0.0"',
-                "sec-fetch-dest": "document",
-                "sec-fetch-mode": "navigate",
-                "sec-fetch-site": "none",
-                "sec-fetch-user": "?1",
-                "upgrade-insecure-requests": "1",
-                "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69",
-                "x-edge-shopping-flag": "1",
-                "x-forwarded-for": Defaults.ip_address,
-            },
-        )
-
-        conversationId = create.json().get("conversationId")
-        clientId = create.json().get("clientId")
-        conversationSignature = create.json().get("conversationSignature")
-
-        if not conversationId or not clientId or not conversationSignature and _ == 4:
-            raise Exception("Failed to create conversation.")
-
-        return conversationId, clientId, conversationSignature
-
-
-async def stream_generate(
-    prompt: str,
-    mode: optionsSets.optionSet = optionsSets.jailbreak,
-    context: bool or str = False,
-):
-    timeout = aiohttp.ClientTimeout(total=900)
-    session = aiohttp.ClientSession(timeout=timeout)
-
-    conversationId, clientId, conversationSignature = await create_conversation()
-
-    wss = await session.ws_connect(
-        "wss://sydney.bing.com/sydney/ChatHub",
-        ssl=ssl_context,
-        autoping=False,
-        headers={
-            "accept": "application/json",
-            "accept-language": "en-US,en;q=0.9",
-            "content-type": "application/json",
-            "sec-ch-ua": '"Not_A Brand";v="99", "Microsoft Edge";v="110", "Chromium";v="110"',
-            "sec-ch-ua-arch": '"x86"',
-            "sec-ch-ua-bitness": '"64"',
-            "sec-ch-ua-full-version": '"109.0.1518.78"',
-            "sec-ch-ua-full-version-list": '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
-            "sec-ch-ua-mobile": "?0",
-            "sec-ch-ua-model": "",
-            "sec-ch-ua-platform": '"Windows"',
-            "sec-ch-ua-platform-version": '"15.0.0"',
-            "sec-fetch-dest": "empty",
-            "sec-fetch-mode": "cors",
-            "sec-fetch-site": "same-origin",
-            "x-ms-client-request-id": str(uuid.uuid4()),
-            "x-ms-useragent": "azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.10.0 OS/Win32",
-            "Referer": "https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx",
-            "Referrer-Policy": "origin-when-cross-origin",
-            "x-forwarded-for": Defaults.ip_address,
-        },
-    )
-
-    await wss.send_str(_format({"protocol": "json", "version": 1}))
-    await wss.receive(timeout=900)
-
-    struct = {
-        "arguments": [
-            {
-                **mode,
-                "source": "cib",
-                "allowedMessageTypes": Defaults.allowedMessageTypes,
-                "sliceIds": Defaults.sliceIds,
-                "traceId": os.urandom(16).hex(),
-                "isStartOfSession": True,
-                "message": Defaults.location
-                | {
-                    "author": "user",
-                    "inputMethod": "Keyboard",
-                    "text": prompt,
-                    "messageType": "Chat",
-                },
-                "conversationSignature": conversationSignature,
-                "participant": {"id": clientId},
-                "conversationId": conversationId,
-            }
-        ],
-        "invocationId": "0",
-        "target": "chat",
-        "type": 4,
-    }
-
-    if context:
-        struct["arguments"][0]["previousMessages"] = [
-            {
-                "author": "user",
-                "description": context,
-                "contextType": "WebPage",
-                "messageType": "Context",
-                "messageId": "discover-web--page-ping-mriduna-----",
-            }
-        ]
-
-    await wss.send_str(_format(struct))
-
-    final = False
-    draw = False
-    resp_txt = ""
-    result_text = ""
-    resp_txt_no_link = ""
-    cache_text = ""
-
-    while not final:
-        msg = await wss.receive(timeout=900)
-        objects = msg.data.split(Defaults.delimiter)
-
-        for obj in objects:
-            if obj is None or not obj:
-                continue
-
-            response = json.loads(obj)
-            if response.get("type") == 1 and response["arguments"][0].get(
-                "messages",
-            ):
-                if not draw:
-                    if (response["arguments"][0]["messages"][0]["contentOrigin"] != "Apology") and not draw:
-                        resp_txt = result_text + response["arguments"][0]["messages"][0]["adaptiveCards"][0]["body"][
-                            0
-                        ].get("text", "")
-                        resp_txt_no_link = result_text + response["arguments"][0]["messages"][0].get("text", "")
-
-                        if response["arguments"][0]["messages"][0].get(
-                            "messageType",
-                        ):
-                            resp_txt = (
-                                resp_txt
-                                + response["arguments"][0]["messages"][0]["adaptiveCards"][0]["body"][0]["inlines"][
-                                    0
-                                ].get("text")
-                                + "\n"
-                            )
-                            result_text = (
-                                result_text
-                                + response["arguments"][0]["messages"][0]["adaptiveCards"][0]["body"][0]["inlines"][
-                                    0
-                                ].get("text")
-                                + "\n"
-                            )
-
-                    if cache_text.endswith("   "):
-                        final = True
-                        if wss and not wss.closed:
-                            await wss.close()
-                        if session and not session.closed:
-                            await session.close()
-
-                    yield (resp_txt.replace(cache_text, ""))
-                    cache_text = resp_txt
-
-            elif response.get("type") == 2:
-                if response["item"]["result"].get("error"):
-                    if wss and not wss.closed:
-                        await wss.close()
-                    if session and not session.closed:
-                        await session.close()
-
-                    raise Exception(f"{response['item']['result']['value']}: {response['item']['result']['message']}")
-
-                if draw:
-                    cache = response["item"]["messages"][1]["adaptiveCards"][0]["body"][0]["text"]
-                    response["item"]["messages"][1]["adaptiveCards"][0]["body"][0]["text"] = cache + resp_txt
-
-                if response["item"]["messages"][-1]["contentOrigin"] == "Apology" and resp_txt:
-                    response["item"]["messages"][-1]["text"] = resp_txt_no_link
-                    response["item"]["messages"][-1]["adaptiveCards"][0]["body"][0]["text"] = resp_txt
-
-                    # print('Preserved the message from being deleted', file=sys.stderr)
-
-                final = True
-                if wss and not wss.closed:
-                    await wss.close()
-                if session and not session.closed:
-                    await session.close()
-
-
-def run(generator):
-    loop = asyncio.new_event_loop()
-    asyncio.set_event_loop(loop)
-    gen = generator.__aiter__()
-
-    while True:
-        try:
-            next_val = loop.run_until_complete(gen.__anext__())
-            yield next_val
-
-        except StopAsyncIteration:
-            break
-    # print('Done')
-
-
-def convert(messages):
-    context = ""
-
-    for message in messages:
-        context += "[%s](#message)\n%s\n\n" % (message["role"], message["content"])
-
-    return context
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    if len(messages) < 2:
-        prompt = messages[0]["content"]
-        context = False
-
-    else:
-        prompt = messages[-1]["content"]
-        context = convert(messages[:-1])
-
-    response = run(stream_generate(prompt, optionsSets.jailbreak, context))
-    for token in response:
-        yield (token)
-
-    # print('Done')
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/ChatFree.py

@@ -1,58 +0,0 @@
-import json
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://v.chatfree.cc"
-model = ["gpt-3.5-turbo", "gpt-3.5-turbo-16k"]
-supports_stream = False
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    headers = {
-        "authority": "chat.dfehub.com",
-        "accept": "*/*",
-        "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
-        "content-type": "application/json",
-        "origin": "https://v.chatfree.cc",
-        "referer": "https://v.chatfree.cc/",
-        "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
-        "sec-ch-ua-mobile": "?0",
-        "sec-ch-ua-platform": '"macOS"',
-        "sec-fetch-dest": "empty",
-        "sec-fetch-mode": "cors",
-        "sec-fetch-site": "same-origin",
-        "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-        "x-requested-with": "XMLHttpRequest",
-    }
-
-    json_data = {
-        "messages": messages,
-        "stream": True,
-        "model": model,
-        "temperature": 0.5,
-        "presence_penalty": 0,
-        "frequency_penalty": 0,
-        "top_p": 1,
-    }
-
-    response = requests.post(
-        "https://v.chatfree.cc/api/openai/v1/chat/completions",
-        headers=headers,
-        json=json_data,
-    )
-
-    for chunk in response.iter_lines():
-        if b"content" in chunk:
-            data = json.loads(chunk.decode().split("data: ")[1])
-            yield (data["choices"][0]["delta"]["content"])
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/ChatgptAi.py

@@ -1,60 +0,0 @@
-import os
-import re
-from typing import get_type_hints
-
-import requests
-
-url = "https://chatgpt.ai/gpt-4/"
-model = ["gpt-4"]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    chat = ""
-    for message in messages:
-        chat += "%s: %s\n" % (message["role"], message["content"])
-    chat += "assistant: "
-
-    response = requests.get("https://chatgpt.ai/")
-    nonce, post_id, _, bot_id = re.findall(
-        r'data-nonce="(.*)"\n     data-post-id="(.*)"\n     data-url="(.*)"\n     data-bot-id="(.*)"\n     data-width',
-        response.text,
-    )[0]
-
-    headers = {
-        "authority": "chatgpt.ai",
-        "accept": "*/*",
-        "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
-        "cache-control": "no-cache",
-        "origin": "https://chatgpt.ai",
-        "pragma": "no-cache",
-        "referer": "https://chatgpt.ai/gpt-4/",
-        "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
-        "sec-ch-ua-mobile": "?0",
-        "sec-ch-ua-platform": '"Windows"',
-        "sec-fetch-dest": "empty",
-        "sec-fetch-mode": "cors",
-        "sec-fetch-site": "same-origin",
-        "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-    }
-    data = {
-        "_wpnonce": nonce,
-        "post_id": post_id,
-        "url": "https://chatgpt.ai/gpt-4",
-        "action": "wpaicg_chat_shortcode_message",
-        "message": chat,
-        "bot_id": bot_id,
-    }
-
-    response = requests.post("https://chatgpt.ai/wp-admin/admin-ajax.php", headers=headers, data=data)
-
-    yield (response.json()["data"])
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/ChatgptLogin.py

@@ -1,113 +0,0 @@
-import base64
-import os
-import re
-from typing import get_type_hints
-
-import requests
-
-url = "https://chatgptlogin.ac"
-model = ["gpt-3.5-turbo"]
-supports_stream = False
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    def get_nonce():
-        res = requests.get(
-            "https://chatgptlogin.ac/use-chatgpt-free/",
-            headers={
-                "Referer": "https://chatgptlogin.ac/use-chatgpt-free/",
-                "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-            },
-        )
-
-        src = re.search(
-            r'class="mwai-chat mwai-chatgpt">.*<span>Send</span></button></div></div></div> <script defer src="(.*?)">',
-            res.text,
-        ).group(1)
-        decoded_string = base64.b64decode(src.split(",")[-1]).decode("utf-8")
-        return re.search(r"let restNonce = '(.*?)';", decoded_string).group(1)
-
-    def transform(messages: list) -> list:
-        def html_encode(string: str) -> str:
-            table = {
-                '"': "&quot;",
-                "'": "&#39;",
-                "&": "&amp;",
-                ">": "&gt;",
-                "<": "&lt;",
-                "\n": "<br>",
-                "\t": "&nbsp;&nbsp;&nbsp;&nbsp;",
-                " ": "&nbsp;",
-            }
-
-            for key in table:
-                string = string.replace(key, table[key])
-
-            return string
-
-        return [
-            {
-                "id": os.urandom(6).hex(),
-                "role": message["role"],
-                "content": message["content"],
-                "who": "AI: " if message["role"] == "assistant" else "User: ",
-                "html": html_encode(message["content"]),
-            }
-            for message in messages
-        ]
-
-    headers = {
-        "authority": "chatgptlogin.ac",
-        "accept": "*/*",
-        "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
-        "content-type": "application/json",
-        "origin": "https://chatgptlogin.ac",
-        "referer": "https://chatgptlogin.ac/use-chatgpt-free/",
-        "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
-        "sec-ch-ua-mobile": "?0",
-        "sec-ch-ua-platform": '"Windows"',
-        "sec-fetch-dest": "empty",
-        "sec-fetch-mode": "cors",
-        "sec-fetch-site": "same-origin",
-        "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-        "x-wp-nonce": get_nonce(),
-    }
-
-    conversation = transform(messages)
-
-    json_data = {
-        "env": "chatbot",
-        "session": "N/A",
-        "prompt": "Converse as if you were an AI assistant. Be friendly, creative.",
-        "context": "Converse as if you were an AI assistant. Be friendly, creative.",
-        "messages": conversation,
-        "newMessage": messages[-1]["content"],
-        "userName": '<div class="mwai-name-text">User:</div>',
-        "aiName": '<div class="mwai-name-text">AI:</div>',
-        "model": "gpt-3.5-turbo",
-        "temperature": 0.8,
-        "maxTokens": 1024,
-        "maxResults": 1,
-        "apiKey": "",
-        "service": "openai",
-        "embeddingsIndex": "",
-        "stop": "",
-        "clientId": os.urandom(6).hex(),
-    }
-
-    response = requests.post(
-        "https://chatgptlogin.ac/wp-json/ai-chatbot/v1/chat",
-        headers=headers,
-        json=json_data,
-    )
-
-    return response.json()["reply"]
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/DeepAi.py

@@ -1,48 +0,0 @@
-import hashlib
-import json
-import os
-import random
-from typing import get_type_hints
-
-import requests
-
-url = "https://deepai.org"
-model = ["gpt-3.5-turbo"]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    def md5(text: str) -> str:
-        return hashlib.md5(text.encode()).hexdigest()[::-1]
-
-    def get_api_key(user_agent: str) -> str:
-        part1 = str(random.randint(0, 10**11))
-        part2 = md5(user_agent + md5(user_agent + md5(user_agent + part1 + "x")))
-
-        return f"tryit-{part1}-{part2}"
-
-    user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36"
-
-    headers = {"api-key": get_api_key(user_agent), "user-agent": user_agent}
-
-    files = {"chat_style": (None, "chat"), "chatHistory": (None, json.dumps(messages))}
-
-    r = requests.post(
-        "https://api.deepai.org/chat_response",
-        headers=headers,
-        files=files,
-        stream=True,
-    )
-
-    for chunk in r.iter_content(chunk_size=None):
-        r.raise_for_status()
-        yield chunk.decode()
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Easychat.py

@@ -1,66 +0,0 @@
-import json
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://free.easychat.work"
-model = [
-    "gpt-3.5-turbo",
-    "gpt-3.5-turbo-16k",
-    "gpt-3.5-turbo-16k-0613",
-    "gpt-3.5-turbo-0613",
-]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    headers = {
-        "authority": "free.easychat.work",
-        "accept": "text/event-stream",
-        "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
-        "content-type": "application/json",
-        "endpoint": "",
-        "origin": "https://free.easychat.work",
-        "plugins": "0",
-        "referer": "https://free.easychat.work/",
-        "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
-        "sec-ch-ua-mobile": "?0",
-        "sec-ch-ua-platform": '"macOS"',
-        "sec-fetch-dest": "empty",
-        "sec-fetch-mode": "cors",
-        "sec-fetch-site": "same-origin",
-        "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-        "usesearch": "false",
-        "x-requested-with": "XMLHttpRequest",
-    }
-
-    json_data = {
-        "messages": messages,
-        "stream": True,
-        "model": model,
-        "temperature": 0.5,
-        "presence_penalty": 0,
-        "frequency_penalty": 0,
-        "top_p": 1,
-    }
-
-    response = requests.post(
-        "https://free.easychat.work/api/openai/v1/chat/completions",
-        headers=headers,
-        json=json_data,
-    )
-
-    for chunk in response.iter_lines():
-        if b"content" in chunk:
-            data = json.loads(chunk.decode().split("data: ")[1])
-            yield (data["choices"][0]["delta"]["content"])
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Ezcht.py

@@ -1,46 +0,0 @@
-import json
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://gpt4.ezchat.top"
-model = [
-    "gpt-3.5-turbo",
-    "gpt-3.5-turbo-16k",
-    "gpt-3.5-turbo-16k-0613",
-    "gpt-3.5-turbo-0613",
-]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, temperature: float = 0.7, **kwargs):
-    headers = {
-        "Content-Type": "application/json",
-    }
-    data = {
-        "model": model,
-        "temperature": 0.7,
-        "presence_penalty": 0,
-        "messages": messages,
-    }
-    response = requests.post(url + "/api/openai/v1/chat/completions", json=data, stream=True)
-
-    if stream:
-        for chunk in response.iter_content(chunk_size=None):
-            chunk = chunk.decode("utf-8")
-            if chunk.strip():
-                message = json.loads(chunk)["choices"][0]["message"]["content"]
-                yield message
-    else:
-        message = response.json()["choices"][0]["message"]["content"]
-        yield message
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Fakeopen.py

@@ -1,59 +0,0 @@
-import json
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://ai.fakeopen.com/v1/"
-model = [
-    "gpt-3.5-turbo",
-    "gpt-3.5-turbo-0613",
-    "gpt-3.5-turbo-16k",
-    "gpt-3.5-turbo-16k-0613",
-]
-
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    headers = {
-        "Content-Type": "application/json",
-        "accept": "text/event-stream",
-        "Cache-Control": "no-cache",
-        "Proxy-Connection": "keep-alive",
-        "Authorization": f"Bearer {os.environ.get('FAKE_OPEN_KEY', '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')}",
-    }
-
-    json_data = {
-        "messages": messages,
-        "temperature": 1.0,
-        "model": model,
-        "stream": stream,
-    }
-
-    response = requests.post(
-        "https://ai.fakeopen.com/v1/chat/completions",
-        headers=headers,
-        json=json_data,
-        stream=True,
-    )
-
-    for token in response.iter_lines():
-        decoded = token.decode("utf-8")
-        if decoded == "[DONE]":
-            break
-        if decoded.startswith("data: "):
-            data_str = decoded.replace("data: ", "")
-            if data_str != "[DONE]":
-                data = json.loads(data_str)
-                if "choices" in data and "delta" in data["choices"][0] and "content" in data["choices"][0]["delta"]:
-                    yield data["choices"][0]["delta"]["content"]
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Forefront.py

@@ -1,41 +0,0 @@
-import json
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://forefront.com"
-model = ["gpt-3.5-turbo"]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    json_data = {
-        "text": messages[-1]["content"],
-        "action": "noauth",
-        "id": "",
-        "parentId": "",
-        "workspaceId": "",
-        "messagePersona": "607e41fe-95be-497e-8e97-010a59b2e2c0",
-        "model": "gpt-4",
-        "messages": messages[:-1] if len(messages) > 1 else [],
-        "internetMode": "auto",
-    }
-    response = requests.post(
-        "https://streaming.tenant-forefront-default.knative.chi.coreweave.com/free-chat",
-        json=json_data,
-        stream=True,
-    )
-    for token in response.iter_lines():
-        if b"delta" in token:
-            token = json.loads(token.decode().split("data: ")[1])["delta"]
-            yield (token)
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/GetGpt.py

@@ -1,68 +0,0 @@
-import json
-import os
-import uuid
-from typing import get_type_hints
-
-import requests
-from Crypto.Cipher import AES
-
-url = "https://chat.getgpt.world/"
-model = ["gpt-3.5-turbo"]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    def encrypt(e):
-        t = os.urandom(8).hex().encode("utf-8")
-        n = os.urandom(8).hex().encode("utf-8")
-        r = e.encode("utf-8")
-        cipher = AES.new(t, AES.MODE_CBC, n)
-        ciphertext = cipher.encrypt(pad_data(r))
-        return ciphertext.hex() + t.decode("utf-8") + n.decode("utf-8")
-
-    def pad_data(data: bytes) -> bytes:
-        block_size = AES.block_size
-        padding_size = block_size - len(data) % block_size
-        padding = bytes([padding_size] * padding_size)
-        return data + padding
-
-    headers = {
-        "Content-Type": "application/json",
-        "Referer": "https://chat.getgpt.world/",
-        "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-    }
-
-    data = json.dumps(
-        {
-            "messages": messages,
-            "frequency_penalty": kwargs.get("frequency_penalty", 0),
-            "max_tokens": kwargs.get("max_tokens", 4000),
-            "model": "gpt-3.5-turbo",
-            "presence_penalty": kwargs.get("presence_penalty", 0),
-            "temperature": kwargs.get("temperature", 1),
-            "top_p": kwargs.get("top_p", 1),
-            "stream": True,
-            "uuid": str(uuid.uuid4()),
-        }
-    )
-
-    res = requests.post(
-        "https://chat.getgpt.world/api/chat/stream",
-        headers=headers,
-        json={"signature": encrypt(data)},
-        stream=True,
-    )
-
-    for line in res.iter_lines():
-        if b"content" in line:
-            line_json = json.loads(line.decode("utf-8").split("data: ")[1])
-            yield (line_json["choices"][0]["delta"]["content"])
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Gravityengine.py

@@ -1,32 +0,0 @@
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://gpt4.xunika.uk/"
-model = ["gpt-3.5-turbo-16k", "gpt-3.5-turbo-0613"]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, temperature: float = 0.7, **kwargs):
-    headers = {
-        "Content-Type": "application/json",
-    }
-    data = {
-        "model": model,
-        "temperature": 0.7,
-        "presence_penalty": 0,
-        "messages": messages,
-    }
-    response = requests.post(url + "/api/openai/v1/chat/completions", json=data, stream=True)
-
-    yield response.json()["choices"][0]["message"]["content"]
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/H2o.py

@@ -1,114 +0,0 @@
-import os
-from json import loads
-from typing import get_type_hints
-from uuid import uuid4
-
-from requests import Session
-
-url = "https://gpt-gm.h2o.ai"
-model = ["falcon-40b", "falcon-7b", "llama-13b"]
-supports_stream = True
-needs_auth = False
-
-models = {
-    "falcon-7b": "h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3",
-    "falcon-40b": "h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1",
-    "llama-13b": "h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b",
-}
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    conversation = "instruction: this is a conversation beween, a user and an AI assistant, respond to the latest message, referring to the conversation if needed\n"
-    for message in messages:
-        conversation += "%s: %s\n" % (message["role"], message["content"])
-    conversation += "assistant:"
-
-    client = Session()
-    client.headers = {
-        "authority": "gpt-gm.h2o.ai",
-        "origin": "https://gpt-gm.h2o.ai",
-        "referer": "https://gpt-gm.h2o.ai/",
-        "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
-        "sec-ch-ua-mobile": "?0",
-        "sec-ch-ua-platform": '"Windows"',
-        "sec-fetch-dest": "document",
-        "sec-fetch-mode": "navigate",
-        "sec-fetch-site": "same-origin",
-        "sec-fetch-user": "?1",
-        "upgrade-insecure-requests": "1",
-        "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-    }
-
-    client.get("https://gpt-gm.h2o.ai/")
-    response = client.post(
-        "https://gpt-gm.h2o.ai/settings",
-        data={
-            "ethicsModalAccepted": "true",
-            "shareConversationsWithModelAuthors": "true",
-            "ethicsModalAcceptedAt": "",
-            "activeModel": "h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1",
-            "searchEnabled": "true",
-        },
-    )
-
-    headers = {
-        "authority": "gpt-gm.h2o.ai",
-        "accept": "*/*",
-        "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
-        "origin": "https://gpt-gm.h2o.ai",
-        "referer": "https://gpt-gm.h2o.ai/",
-        "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
-        "sec-ch-ua-mobile": "?0",
-        "sec-ch-ua-platform": '"Windows"',
-        "sec-fetch-dest": "empty",
-        "sec-fetch-mode": "cors",
-        "sec-fetch-site": "same-origin",
-        "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-    }
-
-    json_data = {"model": models[model]}
-
-    response = client.post("https://gpt-gm.h2o.ai/conversation", headers=headers, json=json_data)
-    conversationId = response.json()["conversationId"]
-
-    completion = client.post(
-        f"https://gpt-gm.h2o.ai/conversation/{conversationId}",
-        stream=True,
-        json={
-            "inputs": conversation,
-            "parameters": {
-                "temperature": kwargs.get("temperature", 0.4),
-                "truncate": kwargs.get("truncate", 2048),
-                "max_new_tokens": kwargs.get("max_new_tokens", 1024),
-                "do_sample": kwargs.get("do_sample", True),
-                "repetition_penalty": kwargs.get("repetition_penalty", 1.2),
-                "return_full_text": kwargs.get("return_full_text", False),
-            },
-            "stream": True,
-            "options": {
-                "id": kwargs.get("id", str(uuid4())),
-                "response_id": kwargs.get("response_id", str(uuid4())),
-                "is_retry": False,
-                "use_cache": False,
-                "web_search_id": "",
-            },
-        },
-    )
-
-    for line in completion.iter_lines():
-        if b"data" in line:
-            line = loads(line.decode("utf-8").replace("data:", ""))
-            token = line["token"]["text"]
-
-            if token == "<|endoftext|>":
-                break
-            else:
-                yield (token)
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Liaobots.py

@@ -1,60 +0,0 @@
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://liaobots.com"
-model = ["gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-4"]
-supports_stream = True
-needs_auth = True
-working = False
-
-models = {
-    "gpt-4": {"id": "gpt-4", "name": "GPT-4", "maxLength": 24000, "tokenLimit": 8000},
-    "gpt-3.5-turbo": {
-        "id": "gpt-3.5-turbo",
-        "name": "GPT-3.5",
-        "maxLength": 12000,
-        "tokenLimit": 4000,
-    },
-    "gpt-3.5-turbo-16k": {
-        "id": "gpt-3.5-turbo-16k",
-        "name": "GPT-3.5-16k",
-        "maxLength": 48000,
-        "tokenLimit": 16000,
-    },
-}
-
-
-def _create_completion(model: str, messages: list, stream: bool, chatId: str, **kwargs):
-    print(kwargs)
-
-    headers = {
-        "authority": "liaobots.com",
-        "content-type": "application/json",
-        "origin": "https://liaobots.com",
-        "referer": "https://liaobots.com/",
-        "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
-        "x-auth-code": "qlcUMVn1KLMhd",
-    }
-
-    json_data = {
-        "conversationId": chatId,
-        "model": models[model],
-        "messages": messages,
-        "key": "",
-        "prompt": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.",
-    }
-
-    response = requests.post("https://liaobots.com/api/chat", headers=headers, json=json_data, stream=True)
-
-    for token in response.iter_content(chunk_size=2046):
-        yield (token.decode("utf-8"))
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Lockchat.py

@@ -1,50 +0,0 @@
-import json
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "http://supertest.lockchat.app"
-model = ["gpt-4", "gpt-3.5-turbo"]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, temperature: float = 0.7, **kwargs):
-    payload = {
-        "temperature": 0.7,
-        "messages": messages,
-        "model": model,
-        "stream": True,
-    }
-    headers = {
-        "user-agent": "ChatX/39 CFNetwork/1408.0.4 Darwin/22.5.0",
-    }
-    response = requests.post(
-        "http://supertest.lockchat.app/v1/chat/completions",
-        json=payload,
-        headers=headers,
-        stream=True,
-    )
-    for token in response.iter_lines():
-        if b"The model: `gpt-4` does not exist" in token:
-            print("error, retrying...")
-            _create_completion(
-                model=model,
-                messages=messages,
-                stream=stream,
-                temperature=temperature,
-                **kwargs,
-            )
-        if b"content" in token:
-            token = json.loads(token.decode("utf-8").split("data: ")[1])["choices"][0]["delta"].get("content")
-            if token:
-                yield (token)
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Mishalsgpt.py

@@ -1,26 +0,0 @@
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://mishalsgpt.vercel.app"
-model = ["gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo"]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    headers = {
-        "Content-Type": "application/json",
-    }
-    data = {"model": model, "temperature": 0.7, "messages": messages}
-    response = requests.post(url + "/api/openai/v1/chat/completions", headers=headers, json=data, stream=True)
-    yield response.json()["choices"][0]["message"]["content"]
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Phind.py

@@ -1,37 +0,0 @@
-import json
-import os
-import subprocess
-from typing import get_type_hints
-
-url = "https://phind.com"
-model = ["gpt-4"]
-supports_stream = True
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    path = os.path.dirname(os.path.realpath(__file__))
-    config = json.dumps({"model": model, "messages": messages}, separators=(",", ":"))
-
-    cmd = ["python", f"{path}/helpers/phind.py", config]
-
-    p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
-    for line in iter(p.stdout.readline, b""):
-        if b"<title>Just a moment...</title>" in line:
-            os.system("clear" if os.name == "posix" else "cls")
-            yield "Clouflare error, please try again..."
-            os._exit(0)
-
-        else:
-            if b"ping - 2023-" in line:
-                continue
-
-            yield line.decode("cp1251")  # [:-1]
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Theb.py

@@ -1,29 +0,0 @@
-import json
-import os
-import subprocess
-from typing import get_type_hints
-
-url = "https://theb.ai"
-model = ["gpt-3.5-turbo"]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    path = os.path.dirname(os.path.realpath(__file__))
-    config = json.dumps({"messages": messages, "model": model}, separators=(",", ":"))
-
-    cmd = ["python3", f"{path}/helpers/theb.py", config]
-
-    p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
-    for line in iter(p.stdout.readline, b""):
-        yield line.decode("utf-8")
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Vercel.py

@@ -1,514 +0,0 @@
-import base64
-import json
-import os
-import queue
-import threading
-from typing import get_type_hints
-
-import execjs
-from curl_cffi import requests
-
-url = "https://play.vercel.ai"
-supports_stream = True
-needs_auth = False
-
-models = {
-    "claude-instant-v1": "anthropic:claude-instant-v1",
-    "claude-v1": "anthropic:claude-v1",
-    "alpaca-7b": "replicate:replicate/alpaca-7b",
-    "stablelm-tuned-alpha-7b": "replicate:stability-ai/stablelm-tuned-alpha-7b",
-    "bloom": "huggingface:bigscience/bloom",
-    "bloomz": "huggingface:bigscience/bloomz",
-    "flan-t5-xxl": "huggingface:google/flan-t5-xxl",
-    "flan-ul2": "huggingface:google/flan-ul2",
-    "gpt-neox-20b": "huggingface:EleutherAI/gpt-neox-20b",
-    "oasst-sft-4-pythia-12b-epoch-3.5": "huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
-    "santacoder": "huggingface:bigcode/santacoder",
-    "command-medium-nightly": "cohere:command-medium-nightly",
-    "command-xlarge-nightly": "cohere:command-xlarge-nightly",
-    "code-cushman-001": "openai:code-cushman-001",
-    "code-davinci-002": "openai:code-davinci-002",
-    "gpt-3.5-turbo": "openai:gpt-3.5-turbo",
-    "text-ada-001": "openai:text-ada-001",
-    "text-babbage-001": "openai:text-babbage-001",
-    "text-curie-001": "openai:text-curie-001",
-    "text-davinci-002": "openai:text-davinci-002",
-    "text-davinci-003": "openai:text-davinci-003",
-}
-model = models.keys()
-
-vercel_models = {
-    "anthropic:claude-instant-v1": {
-        "id": "anthropic:claude-instant-v1",
-        "provider": "anthropic",
-        "providerHumanName": "Anthropic",
-        "makerHumanName": "Anthropic",
-        "minBillingTier": "hobby",
-        "parameters": {
-            "temperature": {"value": 1, "range": [0, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0.1, 1]},
-            "topK": {"value": 1, "range": [1, 500]},
-            "presencePenalty": {"value": 1, "range": [0, 1]},
-            "frequencyPenalty": {"value": 1, "range": [0, 1]},
-            "stopSequences": {"value": ["\n\nHuman:"], "range": []},
-        },
-        "name": "claude-instant-v1",
-    },
-    "anthropic:claude-v1": {
-        "id": "anthropic:claude-v1",
-        "provider": "anthropic",
-        "providerHumanName": "Anthropic",
-        "makerHumanName": "Anthropic",
-        "minBillingTier": "hobby",
-        "parameters": {
-            "temperature": {"value": 1, "range": [0, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0.1, 1]},
-            "topK": {"value": 1, "range": [1, 500]},
-            "presencePenalty": {"value": 1, "range": [0, 1]},
-            "frequencyPenalty": {"value": 1, "range": [0, 1]},
-            "stopSequences": {"value": ["\n\nHuman:"], "range": []},
-        },
-        "name": "claude-v1",
-    },
-    "replicate:replicate/alpaca-7b": {
-        "id": "replicate:replicate/alpaca-7b",
-        "provider": "replicate",
-        "providerHumanName": "Replicate",
-        "makerHumanName": "Stanford",
-        "parameters": {
-            "temperature": {"value": 0.75, "range": [0.01, 5]},
-            "maximumLength": {"value": 200, "range": [50, 512]},
-            "topP": {"value": 0.95, "range": [0.01, 1]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "repetitionPenalty": {"value": 1.1765, "range": [0.01, 5]},
-            "stopSequences": {"value": [], "range": []},
-        },
-        "version": "2014ee1247354f2e81c0b3650d71ca715bc1e610189855f134c30ecb841fae21",
-        "name": "alpaca-7b",
-    },
-    "replicate:stability-ai/stablelm-tuned-alpha-7b": {
-        "id": "replicate:stability-ai/stablelm-tuned-alpha-7b",
-        "provider": "replicate",
-        "makerHumanName": "StabilityAI",
-        "providerHumanName": "Replicate",
-        "parameters": {
-            "temperature": {"value": 0.75, "range": [0.01, 5]},
-            "maximumLength": {"value": 200, "range": [50, 512]},
-            "topP": {"value": 0.95, "range": [0.01, 1]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "repetitionPenalty": {"value": 1.1765, "range": [0.01, 5]},
-            "stopSequences": {"value": [], "range": []},
-        },
-        "version": "4a9a32b4fd86c2d047f1d271fa93972683ec6ef1cf82f402bd021f267330b50b",
-        "name": "stablelm-tuned-alpha-7b",
-    },
-    "huggingface:bigscience/bloom": {
-        "id": "huggingface:bigscience/bloom",
-        "provider": "huggingface",
-        "providerHumanName": "HuggingFace",
-        "makerHumanName": "BigScience",
-        "instructions": "Do NOT talk to Bloom as an entity, it's not a chatbot but a webpage/blog/article completion model. For the best results: mimic a few words of a webpage similar to the content you want to generate. Start a sentence as if YOU were writing a blog, webpage, math post, coding article and Bloom will generate a coherent follow-up.",
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 0.95, "range": [0.01, 0.99]},
-            "topK": {"value": 4, "range": [1, 500]},
-            "repetitionPenalty": {"value": 1.03, "range": [0.1, 2]},
-        },
-        "name": "bloom",
-    },
-    "huggingface:bigscience/bloomz": {
-        "id": "huggingface:bigscience/bloomz",
-        "provider": "huggingface",
-        "providerHumanName": "HuggingFace",
-        "makerHumanName": "BigScience",
-        "instructions": 'We recommend using the model to perform tasks expressed in natural language. For example, given the prompt "Translate to English: Je t\'aime.", the model will most likely answer "I love you.".',
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 0.95, "range": [0.01, 0.99]},
-            "topK": {"value": 4, "range": [1, 500]},
-            "repetitionPenalty": {"value": 1.03, "range": [0.1, 2]},
-        },
-        "name": "bloomz",
-    },
-    "huggingface:google/flan-t5-xxl": {
-        "id": "huggingface:google/flan-t5-xxl",
-        "provider": "huggingface",
-        "makerHumanName": "Google",
-        "providerHumanName": "HuggingFace",
-        "name": "flan-t5-xxl",
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 0.95, "range": [0.01, 0.99]},
-            "topK": {"value": 4, "range": [1, 500]},
-            "repetitionPenalty": {"value": 1.03, "range": [0.1, 2]},
-        },
-    },
-    "huggingface:google/flan-ul2": {
-        "id": "huggingface:google/flan-ul2",
-        "provider": "huggingface",
-        "providerHumanName": "HuggingFace",
-        "makerHumanName": "Google",
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 0.95, "range": [0.01, 0.99]},
-            "topK": {"value": 4, "range": [1, 500]},
-            "repetitionPenalty": {"value": 1.03, "range": [0.1, 2]},
-        },
-        "name": "flan-ul2",
-    },
-    "huggingface:EleutherAI/gpt-neox-20b": {
-        "id": "huggingface:EleutherAI/gpt-neox-20b",
-        "provider": "huggingface",
-        "providerHumanName": "HuggingFace",
-        "makerHumanName": "EleutherAI",
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 0.95, "range": [0.01, 0.99]},
-            "topK": {"value": 4, "range": [1, 500]},
-            "repetitionPenalty": {"value": 1.03, "range": [0.1, 2]},
-            "stopSequences": {"value": [], "range": []},
-        },
-        "name": "gpt-neox-20b",
-    },
-    "huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5": {
-        "id": "huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
-        "provider": "huggingface",
-        "providerHumanName": "HuggingFace",
-        "makerHumanName": "OpenAssistant",
-        "parameters": {
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "typicalP": {"value": 0.2, "range": [0.1, 0.99]},
-            "repetitionPenalty": {"value": 1, "range": [0.1, 2]},
-        },
-        "name": "oasst-sft-4-pythia-12b-epoch-3.5",
-    },
-    "huggingface:bigcode/santacoder": {
-        "id": "huggingface:bigcode/santacoder",
-        "provider": "huggingface",
-        "providerHumanName": "HuggingFace",
-        "makerHumanName": "BigCode",
-        "instructions": 'The model was trained on GitHub code. As such it is not an instruction model and commands like "Write a function that computes the square root." do not work well. You should phrase commands like they occur in source code such as comments (e.g. # the following function computes the sqrt) or write a function signature and docstring and let the model complete the function body.',
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 0.95, "range": [0.01, 0.99]},
-            "topK": {"value": 4, "range": [1, 500]},
-            "repetitionPenalty": {"value": 1.03, "range": [0.1, 2]},
-        },
-        "name": "santacoder",
-    },
-    "cohere:command-medium-nightly": {
-        "id": "cohere:command-medium-nightly",
-        "provider": "cohere",
-        "providerHumanName": "Cohere",
-        "makerHumanName": "Cohere",
-        "name": "command-medium-nightly",
-        "parameters": {
-            "temperature": {"value": 0.9, "range": [0, 2]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0, 1]},
-            "topK": {"value": 0, "range": [0, 500]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "stopSequences": {"value": [], "range": []},
-        },
-    },
-    "cohere:command-xlarge-nightly": {
-        "id": "cohere:command-xlarge-nightly",
-        "provider": "cohere",
-        "providerHumanName": "Cohere",
-        "makerHumanName": "Cohere",
-        "name": "command-xlarge-nightly",
-        "parameters": {
-            "temperature": {"value": 0.9, "range": [0, 2]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0, 1]},
-            "topK": {"value": 0, "range": [0, 500]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "stopSequences": {"value": [], "range": []},
-        },
-    },
-    "openai:gpt-4": {
-        "id": "openai:gpt-4",
-        "provider": "openai",
-        "providerHumanName": "OpenAI",
-        "makerHumanName": "OpenAI",
-        "name": "gpt-4",
-        "minBillingTier": "pro",
-        "parameters": {
-            "temperature": {"value": 0.7, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0.1, 1]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "stopSequences": {"value": [], "range": []},
-        },
-    },
-    "openai:code-cushman-001": {
-        "id": "openai:code-cushman-001",
-        "provider": "openai",
-        "providerHumanName": "OpenAI",
-        "makerHumanName": "OpenAI",
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0.1, 1]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "stopSequences": {"value": [], "range": []},
-        },
-        "name": "code-cushman-001",
-    },
-    "openai:code-davinci-002": {
-        "id": "openai:code-davinci-002",
-        "provider": "openai",
-        "providerHumanName": "OpenAI",
-        "makerHumanName": "OpenAI",
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0.1, 1]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "stopSequences": {"value": [], "range": []},
-        },
-        "name": "code-davinci-002",
-    },
-    "openai:gpt-3.5-turbo": {
-        "id": "openai:gpt-3.5-turbo",
-        "provider": "openai",
-        "providerHumanName": "OpenAI",
-        "makerHumanName": "OpenAI",
-        "parameters": {
-            "temperature": {"value": 0.7, "range": [0, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0.1, 1]},
-            "topK": {"value": 1, "range": [1, 500]},
-            "presencePenalty": {"value": 1, "range": [0, 1]},
-            "frequencyPenalty": {"value": 1, "range": [0, 1]},
-            "stopSequences": {"value": [], "range": []},
-        },
-        "name": "gpt-3.5-turbo",
-    },
-    "openai:text-ada-001": {
-        "id": "openai:text-ada-001",
-        "provider": "openai",
-        "providerHumanName": "OpenAI",
-        "makerHumanName": "OpenAI",
-        "name": "text-ada-001",
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0.1, 1]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "stopSequences": {"value": [], "range": []},
-        },
-    },
-    "openai:text-babbage-001": {
-        "id": "openai:text-babbage-001",
-        "provider": "openai",
-        "providerHumanName": "OpenAI",
-        "makerHumanName": "OpenAI",
-        "name": "text-babbage-001",
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0.1, 1]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "stopSequences": {"value": [], "range": []},
-        },
-    },
-    "openai:text-curie-001": {
-        "id": "openai:text-curie-001",
-        "provider": "openai",
-        "providerHumanName": "OpenAI",
-        "makerHumanName": "OpenAI",
-        "name": "text-curie-001",
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0.1, 1]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "stopSequences": {"value": [], "range": []},
-        },
-    },
-    "openai:text-davinci-002": {
-        "id": "openai:text-davinci-002",
-        "provider": "openai",
-        "providerHumanName": "OpenAI",
-        "makerHumanName": "OpenAI",
-        "name": "text-davinci-002",
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0.1, 1]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "stopSequences": {"value": [], "range": []},
-        },
-    },
-    "openai:text-davinci-003": {
-        "id": "openai:text-davinci-003",
-        "provider": "openai",
-        "providerHumanName": "OpenAI",
-        "makerHumanName": "OpenAI",
-        "name": "text-davinci-003",
-        "parameters": {
-            "temperature": {"value": 0.5, "range": [0.1, 1]},
-            "maximumLength": {"value": 200, "range": [50, 1024]},
-            "topP": {"value": 1, "range": [0.1, 1]},
-            "presencePenalty": {"value": 0, "range": [0, 1]},
-            "frequencyPenalty": {"value": 0, "range": [0, 1]},
-            "stopSequences": {"value": [], "range": []},
-        },
-    },
-}
-
-
-# based on https://github.com/ading2210/vercel-llm-api // modified
-class Client:
-    def __init__(self):
-        self.session = requests.Session()
-        self.headers = {
-            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110 Safari/537.36",
-            "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
-            "Accept-Encoding": "gzip, deflate, br",
-            "Accept-Language": "en-US,en;q=0.5",
-            "Te": "trailers",
-            "Upgrade-Insecure-Requests": "1",
-        }
-        self.session.headers.update(self.headers)
-
-    def get_token(self):
-        b64 = self.session.get("https://sdk.vercel.ai/openai.jpeg").text
-        data = json.loads(base64.b64decode(b64))
-
-        code = "const globalThis = {data: `sentinel`}; function token() {return (%s)(%s)}" % (data["c"], data["a"])
-
-        token_string = json.dumps(
-            separators=(",", ":"),
-            obj={"r": execjs.compile(code).call("token"), "t": data["t"]},
-        )
-
-        return base64.b64encode(token_string.encode()).decode()
-
-    def get_default_params(self, model_id):
-        return {key: param["value"] for key, param in vercel_models[model_id]["parameters"].items()}
-
-    def generate(self, model_id: str, prompt: str, params: dict = {}):
-        if not ":" in model_id:
-            model_id = models[model_id]
-
-        defaults = self.get_default_params(model_id)
-
-        payload = (
-            defaults
-            | params
-            | {
-                "prompt": prompt,
-                "model": model_id,
-            }
-        )
-
-        headers = self.headers | {
-            "Accept-Encoding": "gzip, deflate, br",
-            "Custom-Encoding": self.get_token(),
-            "Host": "sdk.vercel.ai",
-            "Origin": "https://sdk.vercel.ai",
-            "Referrer": "https://sdk.vercel.ai",
-            "Sec-Fetch-Dest": "empty",
-            "Sec-Fetch-Mode": "cors",
-            "Sec-Fetch-Site": "same-origin",
-        }
-
-        chunks_queue = queue.Queue()
-        error = None
-        response = None
-
-        def callback(data):
-            chunks_queue.put(data.decode())
-
-        def request_thread():
-            nonlocal response, error
-            for _ in range(3):
-                try:
-                    response = self.session.post(
-                        "https://sdk.vercel.ai/api/generate",
-                        json=payload,
-                        headers=headers,
-                        content_callback=callback,
-                    )
-                    response.raise_for_status()
-
-                except Exception as e:
-                    if _ == 2:
-                        error = e
-
-                    else:
-                        continue
-
-        thread = threading.Thread(target=request_thread, daemon=True)
-        thread.start()
-
-        text = ""
-        index = 0
-        while True:
-            try:
-                chunk = chunks_queue.get(block=True, timeout=0.1)
-
-            except queue.Empty:
-                if error:
-                    raise error
-
-                elif response:
-                    break
-
-                else:
-                    continue
-
-            text += chunk
-            lines = text.split("\n")
-
-            if len(lines) - 1 > index:
-                new = lines[index:-1]
-                for word in new:
-                    yield json.loads(word)
-                index = len(lines) - 1
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    yield "Vercel is currently not working."
-    return
-
-    conversation = "This is a conversation between a human and a language model, respond to the last message accordingly, referring to the past history of messages if needed.\n"
-
-    for message in messages:
-        conversation += "%s: %s\n" % (message["role"], message["content"])
-
-    conversation += "assistant: "
-
-    completion = Client().generate(model, conversation)
-
-    for token in completion:
-        yield token
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Weuseing.py

@@ -1,39 +0,0 @@
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://api.gptplus.one"
-model = [
-    "gpt-3.5-turbo",
-    "gpt-3.5-turbo-16k",
-    "gpt-3.5-turbo-16k-0613",
-    "gpt-3.5-turbo-0613",
-]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, temperature: float = 0.7, **kwargs):
-    headers = {
-        "Content-Type": "application/json",
-        "Accept": "*/*",
-        "Accept-Language": "ru-RU,ru;q=0.9,en-US;q=0.8,en;q=0.7,ja;q=0.6,zh-TW;q=0.5,zh;q=0.4",
-    }
-    data = {
-        "messages": messages,
-        "model": model,
-    }
-    response = requests.post("https://api.gptplus.one/chat-process", json=data, stream=True)
-    print(response)
-
-    for token in response.iter_content(chunk_size=None):
-        yield (token.decode("utf-8"))
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Wewordle.py

@@ -1,72 +0,0 @@
-import json
-import os
-import random
-import string
-import time
-from typing import get_type_hints
-
-import requests
-
-url = "https://wewordle.org/gptapi/v1/android/turbo"
-model = ["gpt-3.5-turbo"]
-supports_stream = False
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    base = ""
-    for message in messages:
-        base += "%s: %s\n" % (message["role"], message["content"])
-    base += "assistant:"
-    # randomize user id and app id
-    _user_id = "".join(random.choices(f"{string.ascii_lowercase}{string.digits}", k=16))
-    _app_id = "".join(random.choices(f"{string.ascii_lowercase}{string.digits}", k=31))
-    # make current date with format utc
-    _request_date = time.strftime("%Y-%m-%dT%H:%M:%S.000Z", time.gmtime())
-    headers = {
-        "accept": "*/*",
-        "pragma": "no-cache",
-        "Content-Type": "application/json",
-        "Connection": "keep-alive",
-    }
-    data = {
-        "user": _user_id,
-        "messages": [{"role": "user", "content": base}],
-        "subscriber": {
-            "originalPurchaseDate": None,
-            "originalApplicationVersion": None,
-            "allPurchaseDatesMillis": {},
-            "entitlements": {"active": {}, "all": {}},
-            "allPurchaseDates": {},
-            "allExpirationDatesMillis": {},
-            "allExpirationDates": {},
-            "originalAppUserId": f"$RCAnonymousID:{_app_id}",
-            "latestExpirationDate": None,
-            "requestDate": _request_date,
-            "latestExpirationDateMillis": None,
-            "nonSubscriptionTransactions": [],
-            "originalPurchaseDateMillis": None,
-            "managementURL": None,
-            "allPurchasedProductIdentifiers": [],
-            "firstSeen": _request_date,
-            "activeSubscriptions": [],
-        },
-    }
-    response = requests.post(url, headers=headers, data=json.dumps(data))
-    if response.status_code == 200:
-        _json = response.json()
-        if "message" in _json:
-            message_content = _json["message"]["content"]
-            message_content = message_content.replace("**assistant:** ", "")
-            yield message_content
-    else:
-        print(f"Error Occurred::{response.status_code}")
-        return None
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Xiaor.py

@@ -1,46 +0,0 @@
-import json
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://xiaor.eu.org"
-model = [
-    "gpt-3.5-turbo",
-    "gpt-3.5-turbo-16k",
-    "gpt-3.5-turbo-16k-0613",
-    "gpt-3.5-turbo-0613",
-]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, temperature: float = 0.7, **kwargs):
-    headers = {
-        "Content-Type": "application/json",
-    }
-    data = {
-        "model": model,
-        "temperature": 0.7,
-        "presence_penalty": 0,
-        "messages": messages,
-    }
-    response = requests.post(url + "/p1/v1/chat/completions", json=data, stream=True)
-
-    if stream:
-        for chunk in response.iter_content(chunk_size=None):
-            chunk = chunk.decode("utf-8")
-            if chunk.strip():
-                message = json.loads(chunk)["choices"][0]["message"]["content"]
-                yield message
-    else:
-        message = response.json()["choices"][0]["message"]["content"]
-        yield message
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/You.py

@@ -1,20 +0,0 @@
-import json
-import os
-import subprocess
-
-url = "https://you.com"
-model = "gpt-3.5-turbo"
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    path = os.path.dirname(os.path.realpath(__file__))
-    config = json.dumps({"messages": messages}, separators=(",", ":"))
-
-    cmd = ["python3", f"{path}/helpers/you.py", config]
-
-    p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
-    for line in iter(p.stdout.readline, b""):
-        yield line.decode("utf-8")  # [:-1]

chat_gpt_microservice/g4f/Provider/Providers/Yqcloud.py

@@ -1,45 +0,0 @@
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://chat9.yqcloud.top/"
-model = [
-    "gpt-3.5-turbo",
-]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, chatId: str, **kwargs):
-    headers = {
-        "authority": "api.aichatos.cloud",
-        "origin": "https://chat9.yqcloud.top",
-        "referer": "https://chat9.yqcloud.top/",
-        "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
-    }
-
-    json_data = {
-        "prompt": str(messages),
-        "userId": f"#/chat/{chatId}",
-        "network": True,
-        "apikey": "",
-        "system": "",
-        "withoutContext": False,
-    }
-    response = requests.post(
-        "https://api.aichatos.cloud/api/generateStream",
-        headers=headers,
-        json=json_data,
-        stream=True,
-    )
-    for token in response.iter_content(chunk_size=2046):
-        yield (token.decode("utf-8"))
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/Zeabur.py

@@ -1,63 +0,0 @@
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://gptleg.zeabur.app"
-model = [
-    "gpt-3.5-turbo",
-    "gpt-3.5-turbo-0301",
-    "gpt-3.5-turbo-16k",
-    "gpt-4",
-    "gpt-4-0613",
-]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    headers = {
-        "Authority": "chat.dfehub.com",
-        "Content-Type": "application/json",
-        "Method": "POST",
-        "Path": "/api/openai/v1/chat/completions",
-        "Scheme": "https",
-        "Accept": "text/event-stream",
-        "Accept-Language": "pt-BR,pt;q=0.9,en-US;q=0.8,en;q=0.7,zh-CN;q=0.6,zh;q=0.5",
-        "Content-Type": "application/json",
-        "Origin": "https://gptleg.zeabur.app",
-        "Referer": "https://gptleg.zeabur.app/",
-        "Sec-Ch-Ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
-        "Sec-Ch-Ua-Mobile": "?0",
-        "Sec-Ch-Ua-Platform": '"Windows"',
-        "Sec-Fetch-Dest": "empty",
-        "Sec-Fetch-Mode": "cors",
-        "Sec-Fetch-Site": "same-origin",
-        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-        "X-Requested-With": "XMLHttpRequest",
-    }
-
-    data = {
-        "model": model,
-        "temperature": 0.7,
-        "max_tokens": "16000",
-        "presence_penalty": 0,
-        "messages": messages,
-    }
-
-    response = requests.post(
-        url + "/api/openai/v1/chat/completions",
-        headers=headers,
-        json=data,
-        stream=stream,
-    )
-
-    yield response.json()["choices"][0]["message"]["content"]
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/Providers/helpers/gpt4love.py

@@ -1,53 +0,0 @@
-import json
-import sys
-from re import findall
-
-from curl_cffi import requests
-
-config = json.loads(sys.argv[1])
-prompt = config["messages"][-1]["content"]
-
-headers = {
-    "authority": "api.gptplus.one",
-    "accept": "application/json, text/plain, */*",
-    "accept-language": "ru-RU,ru;q=0.9,en-US;q=0.8,en;q=0.7,ja;q=0.6,zh-TW;q=0.5,zh;q=0.4",
-    "content-type": "application/octet-stream",
-    "origin": "https://ai.gptforlove.com/",
-    "referer": "https://ai.gptforlove.com/",
-    "sec-ch-ua": '"Google Chrome";v="113", "Chromium";v="113", "Not-A.Brand";v="24"',
-    "sec-ch-ua-mobile": "?0",
-    "sec-ch-ua-platform": '"macOS"',
-    "sec-fetch-dest": "empty",
-    "sec-fetch-mode": "cors",
-    "sec-fetch-site": "cross-site",
-    "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36",
-}
-
-json_data = {"prompt": prompt, "options": {}}
-
-
-def format(chunk):
-    try:
-        completion_chunk = findall(r'content":"(.*)"},"fin', chunk.decode())[0]
-        print(completion_chunk, flush=True, end="")
-
-    except Exception:
-        print(f"[ERROR] an error occured, retrying... | [[{chunk.decode()}]]", flush=True)
-        return
-
-
-while True:
-    try:
-        response = requests.post(
-            "https://api.gptplus.one/api/chat-process",
-            headers=headers,
-            json=json_data,
-            content_callback=format,
-            impersonate="chrome110",
-        )
-
-        exit(0)
-
-    except Exception as e:
-        print("[ERROR] an error occured, retrying... |", e, flush=True)
-        continue

chat_gpt_microservice/g4f/Provider/Providers/helpers/phind.py

@@ -1,81 +0,0 @@
-import datetime
-import json
-import sys
-import urllib.parse
-
-from curl_cffi import requests
-
-config = json.loads(sys.argv[1])
-prompt = config["messages"][-1]["content"]
-
-skill = "expert" if config["model"] == "gpt-4" else "intermediate"
-
-json_data = json.dumps(
-    {
-        "question": prompt,
-        "options": {
-            "skill": skill,
-            "date": datetime.datetime.now().strftime("%d/%m/%Y"),
-            "language": "en",
-            "detailed": True,
-            "creative": True,
-            "customLinks": [],
-        },
-    },
-    separators=(",", ":"),
-)
-
-headers = {
-    "Content-Type": "application/json",
-    "Pragma": "no-cache",
-    "Accept": "*/*",
-    "Sec-Fetch-Site": "same-origin",
-    "Accept-Language": "en-GB,en;q=0.9",
-    "Cache-Control": "no-cache",
-    "Sec-Fetch-Mode": "cors",
-    "Content-Length": str(len(json_data)),
-    "Origin": "https://www.phind.com",
-    "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.4 Safari/605.1.15",
-    "Referer": f"https://www.phind.com/search?q={urllib.parse.quote(prompt)}&source=searchbox",
-    "Connection": "keep-alive",
-    "Host": "www.phind.com",
-    "Sec-Fetch-Dest": "empty",
-}
-
-
-def output(chunk):
-    try:
-        if b"PHIND_METADATA" in chunk:
-            return
-
-        if chunk == b"data:  \r\ndata: \r\ndata: \r\n\r\n":
-            chunk = b"data:  \n\r\n\r\n"
-
-        chunk = chunk.decode()
-
-        chunk = chunk.replace("data: \r\n\r\ndata: ", "data: \n")
-        chunk = chunk.replace("\r\ndata: \r\ndata: \r\n\r\n", "\n\r\n\r\n")
-        chunk = chunk.replace("data: ", "").replace("\r\n\r\n", "")
-
-        print(chunk, flush=True, end="")
-
-    except json.decoder.JSONDecodeError:
-        pass
-
-
-while True:
-    try:
-        response = requests.post(
-            "https://www.phind.com/api/infer/answer",
-            headers=headers,
-            data=json_data,
-            content_callback=output,
-            timeout=999999,
-            impersonate="safari15_5",
-        )
-
-        exit(0)
-
-    except Exception as e:
-        print("an error occured, retrying... |", e, flush=True)
-        continue

chat_gpt_microservice/g4f/Provider/Providers/helpers/theb.py

@@ -1,53 +0,0 @@
-import json
-import sys
-from re import findall
-
-from curl_cffi import requests
-
-config = json.loads(sys.argv[1])
-prompt = config["messages"][-1]["content"]
-
-headers = {
-    "authority": "chatbot.theb.ai",
-    "accept": "application/json, text/plain, */*",
-    "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
-    "content-type": "application/json",
-    "origin": "https://chatbot.theb.ai",
-    "referer": "https://chatbot.theb.ai/",
-    "sec-ch-ua": '"Google Chrome";v="113", "Chromium";v="113", "Not-A.Brand";v="24"',
-    "sec-ch-ua-mobile": "?0",
-    "sec-ch-ua-platform": '"macOS"',
-    "sec-fetch-dest": "empty",
-    "sec-fetch-mode": "cors",
-    "sec-fetch-site": "same-origin",
-    "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36",
-}
-
-json_data = {"prompt": prompt, "options": {}}
-
-
-def format(chunk):
-    try:
-        completion_chunk = findall(r'content":"(.*)"},"fin', chunk.decode())[0]
-        print(completion_chunk, flush=True, end="")
-
-    except Exception:
-        print(f"[ERROR] an error occured, retrying... | [[{chunk.decode()}]]", flush=True)
-        return
-
-
-while True:
-    try:
-        response = requests.post(
-            "https://chatbot.theb.ai/api/chat-process",
-            headers=headers,
-            json=json_data,
-            content_callback=format,
-            impersonate="chrome110",
-        )
-
-        exit(0)
-
-    except Exception as e:
-        print("[ERROR] an error occured, retrying... |", e, flush=True)
-        continue

chat_gpt_microservice/g4f/Provider/Providers/helpers/you.py

@@ -1,82 +0,0 @@
-import json
-import sys
-import urllib.parse
-
-from curl_cffi import requests
-
-config = json.loads(sys.argv[1])
-messages = config["messages"]
-prompt = ""
-
-
-def transform(messages: list) -> list:
-    result = []
-    i = 0
-
-    while i < len(messages):
-        if messages[i]["role"] == "user":
-            question = messages[i]["content"]
-            i += 1
-
-            if i < len(messages) and messages[i]["role"] == "assistant":
-                answer = messages[i]["content"]
-                i += 1
-            else:
-                answer = ""
-
-            result.append({"question": question, "answer": answer})
-
-        elif messages[i]["role"] == "assistant":
-            result.append({"question": "", "answer": messages[i]["content"]})
-            i += 1
-
-        elif messages[i]["role"] == "system":
-            result.append({"question": messages[i]["content"], "answer": ""})
-            i += 1
-
-    return result
-
-
-headers = {
-    "Content-Type": "application/x-www-form-urlencoded",
-    "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
-    "Sec-Fetch-Site": "same-origin",
-    "Accept-Language": "en-GB,en;q=0.9",
-    "Sec-Fetch-Mode": "navigate",
-    "Host": "you.com",
-    "Origin": "https://you.com",
-    "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.4 Safari/605.1.15",
-    "Referer": "https://you.com/api/streamingSearch?q=nice&safeSearch=Moderate&onShoppingPage=false&mkt=&responseFilter=WebPages,Translations,TimeZone,Computation,RelatedSearches&domain=youchat&queryTraceId=7a6671f8-5881-404d-8ea3-c3f8301f85ba&chat=%5B%7B%22question%22%3A%22hi%22%2C%22answer%22%3A%22Hello!%20How%20can%20I%20assist%20you%20today%3F%22%7D%5D&chatId=7a6671f8-5881-404d-8ea3-c3f8301f85ba&__cf_chl_tk=ex2bw6vn5vbLsUm8J5rDYUC0Bjzc1XZqka6vUl6765A-1684108495-0-gaNycGzNDtA",
-    "Connection": "keep-alive",
-    "Sec-Fetch-Dest": "document",
-    "Priority": "u=0, i",
-}
-
-if messages[-1]["role"] == "user":
-    prompt = messages[-1]["content"]
-    messages = messages[:-1]
-
-params = urllib.parse.urlencode({"q": prompt, "domain": "youchat", "chat": transform(messages)})
-
-
-def output(chunk):
-    if b'"youChatToken"' in chunk:
-        chunk_json = json.loads(chunk.decode().split("data: ")[1])
-
-        print(chunk_json["youChatToken"], flush=True, end="")
-
-
-while True:
-    try:
-        response = requests.get(
-            f"https://you.com/api/streamingSearch?{params}",
-            headers=headers,
-            content_callback=output,
-            impersonate="safari15_5",
-        )
-
-        exit(0)
-
-    except Exception as e:
-        print("an error occured, retrying... |", e, flush=True)
-        continue

chat_gpt_microservice/g4f/Provider/Providers/hteyun.py

@@ -1,44 +0,0 @@
-import os
-from typing import get_type_hints
-
-import requests
-
-url = "https://hteyun.com"
-model = [
-    "gpt-3.5-turbo",
-    "gpt-3.5-turbo-16k",
-    "gpt-3.5-turbo-16k-0613",
-    "gpt-3.5-turbo-0613",
-]
-supports_stream = True
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, temperature: float = 0.7, **kwargs):
-    headers = {
-        "Content-Type": "application/json",
-        "Accept": "application/json, text/plain, */*",
-        "Accept-Language": "ru-RU,ru;q=0.9,en-US;q=0.8,en;q=0.7,ja;q=0.6,zh-TW;q=0.5,zh;q=0.4",
-        "Origin": "https://hteyun.com",
-        "Referer": "https://hteyun.com/chat/",
-    }
-    data = {
-        "messages": messages,
-        "model": model,
-        "systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using russian language.",
-        "temperature": 0.7,
-        "presence_penalty": 0,
-    }
-    response = requests.post(url + "/api/chat-stream", json=data, headers=headers, stream=True)
-    print(response.json())
-
-    # Извлечение текста из response
-    return response.json()["text"]
-
-
-params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
-    [
-        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
-        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
-    ]
-)

chat_gpt_microservice/g4f/Provider/__init__.py

@@ -1,35 +0,0 @@
-from . import Provider
-from .Providers import (
-    Aichat,
-    Ails,
-    AiService,
-    Bard,
-    Better,
-    Bing,
-    ChatFree,
-    ChatgptAi,
-    ChatgptLogin,
-    DeepAi,
-    Easychat,
-    Ezcht,
-    Fakeopen,
-    Forefront,
-    GetGpt,
-    Gravityengine,
-    H2o,
-    Liaobots,
-    Lockchat,
-    Mishalsgpt,
-    Phind,
-    Theb,
-    Vercel,
-    Weuseing,
-    Wewordle,
-    Xiaor,
-    You,
-    Yqcloud,
-    Zeabur,
-    hteyun,
-)
-
-Palm = Bard

chat_gpt_microservice/g4f/README.md

@@ -1,5 +0,0 @@
-## 🚀 API G4F
-
-This API is built upon the [gpt4free](https://github.com/xtekky/gpt4free) project.
-
-

chat_gpt_microservice/g4f/__init__.py

@@ -1,57 +0,0 @@
-import sys
-
-from g4f.models import Model, ModelUtils
-
-from . import Provider
-
-
-class ChatCompletion:
-    @staticmethod
-    def create(
-        model: Model.model or str,
-        messages: list,
-        provider: Provider.Provider = None,
-        stream: bool = False,
-        auth: str = False,
-        **kwargs,
-    ):
-        kwargs["auth"] = auth
-
-        if provider and provider.needs_auth and not auth:
-            print(
-                f'ValueError: {provider.__name__} requires authentication (use auth="cookie or token or jwt ..." param)',
-                file=sys.stderr,
-            )
-            sys.exit(1)
-
-        try:
-            if isinstance(model, str):
-                try:
-                    model = ModelUtils.convert[model]
-                except KeyError:
-                    raise Exception(f"The model: {model} does not exist")
-
-            engine = model.best_provider if not provider else provider
-
-            if not engine.supports_stream and stream == True:
-                print(
-                    f"ValueError: {engine.__name__} does not support 'stream' argument",
-                    file=sys.stderr,
-                )
-                sys.exit(1)
-
-            print(f"Using {engine.__name__} provider")
-
-            return (
-                engine._create_completion(model.name, messages, stream, **kwargs)
-                if stream
-                else "".join(engine._create_completion(model.name, messages, stream, **kwargs))
-            )
-        except TypeError as e:
-            print(e)
-            arg: str = str(e).split("'")[1]
-            print(
-                f"ValueError: {engine.__name__} does not support '{arg}' argument",
-                file=sys.stderr,
-            )
-            sys.exit(1)

chat_gpt_microservice/g4f/active_providers.py

@@ -1,128 +0,0 @@
-import uuid
-
-import g4f
-from g4f import ChatCompletion
-
-TEST_PROMPT = "Generate a sentence with 'ocean'"
-EXPECTED_RESPONSE_CONTAINS = "ocean"
-
-
-class Provider:
-    def __init__(self, name, models):
-        """
-        Initialize the provider with its name and models.
-        """
-        self.name = name
-        self.models = models if isinstance(models, list) else [models]
-
-    def __str__(self):
-        return self.name
-
-
-class ModelProviderManager:
-    def __init__(self):
-        """
-        Initialize the manager that manages the working (active) providers for each model.
-        """
-        self._working_model_providers = {}
-
-    def add_provider(self, model, provider_name):
-        """
-        Add a provider to the working provider list of the specified model.
-        """
-        if model not in self._working_model_providers:
-            self._working_model_providers[model] = []
-        self._working_model_providers[model].append(provider_name)
-
-    def get_working_providers(self):
-        """
-        Return the currently active providers for each model.
-        """
-        return self._working_model_providers
-
-
-def _fetch_providers_having_models():
-    """
-    Get providers that have models from g4f.Providers.
-    """
-    model_providers = []
-
-    for provider_name in dir(g4f.Provider):
-        provider = getattr(g4f.Provider, provider_name)
-
-        if _is_provider_applicable(provider):
-            model_providers.append(Provider(provider_name, provider.model))
-
-    return model_providers
-
-
-def _is_provider_applicable(provider):
-    """
-    Check if the provider has a model and doesn't require authentication.
-    """
-    return (
-        hasattr(provider, "model")
-        and hasattr(provider, "_create_completion")
-        and hasattr(provider, "needs_auth")
-        and not provider.needs_auth
-    )
-
-
-def _generate_test_messages():
-    """
-    Generate messages for testing.
-    """
-    return [
-        {"role": "system", "content": "You are a trained AI assistant."},
-        {"role": "user", "content": TEST_PROMPT},
-    ]
-
-
-def _manage_chat_completion(manager, model_providers, test_messages):
-    """
-    Generate chat completion for each provider's models and handle positive and negative results.
-    """
-    for provider in model_providers:
-        for model in provider.models:
-            try:
-                response = _generate_chat_response(provider.name, model, test_messages)
-                if EXPECTED_RESPONSE_CONTAINS in response.lower():
-                    _print_success_response(provider, model)
-                    manager.add_provider(model, provider.name)
-                else:
-                    raise Exception(f"Unexpected response: {response}")
-            except Exception as error:
-                _print_error_response(provider, model, error)
-
-
-def _generate_chat_response(provider_name, model, test_messages):
-    """
-    Generate a chat response given a provider name, a model, and test messages.
-    """
-    return ChatCompletion.create(
-        model=model,
-        messages=test_messages,
-        chatId=str(uuid.uuid4()),
-        provider=getattr(g4f.Provider, provider_name),
-    )
-
-
-def _print_success_response(provider, model):
-    print(f"\u2705 [{provider}] - [{model}]: Success")
-
-
-def _print_error_response(provider, model, error):
-    print(f"\u26D4 [{provider}] - [{model}]: Error - {str(error)}")
-
-
-def get_active_model_providers():
-    """
-    Get providers that are currently working (active).
-    """
-    model_providers = _fetch_providers_having_models()
-    test_messages = _generate_test_messages()
-    manager = ModelProviderManager()
-
-    _manage_chat_completion(manager, model_providers, test_messages)
-
-    return manager.get_working_providers()

chat_gpt_microservice/g4f/models.py

@@ -1,223 +0,0 @@
-from g4f import Provider
-
-
-class Model:
-    class model:
-        name: str
-        base_provider: str
-        best_provider: str
-
-    class gpt_35_turbo:
-        name: str = "gpt-3.5-turbo"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Wewordle
-
-    class gpt_35_turbo_0613:
-        name: str = "gpt-3.5-turbo-0613"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Zeabur
-
-    class gpt_35_turbo_0301:
-        name: str = "gpt-3.5-turbo-0301"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Zeabur
-
-    class gpt_35_turbo_16k_0613:
-        name: str = "gpt-3.5-turbo-16k-0613"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Zeabur
-
-    class gpt_35_turbo_16k:
-        name: str = "gpt-3.5-turbo-16k"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.ChatFree
-
-    class gpt_4_dev:
-        name: str = "gpt-4-for-dev"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Phind
-
-    class gpt_4:
-        name: str = "gpt-4"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.ChatgptAi
-
-    class gpt_4_0613:
-        name: str = "gpt-4-0613"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Lockchat
-        best_providers: list = [Provider.Bing, Provider.Lockchat]
-
-    class claude_instant_v1_100k:
-        name: str = "claude-instant-v1-100k"
-        base_provider: str = "anthropic"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class claude_instant_v1:
-        name: str = "claude-instant-v1"
-        base_provider: str = "anthropic"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class claude_v1_100k:
-        name: str = "claude-v1-100k"
-        base_provider: str = "anthropic"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class claude_v1:
-        name: str = "claude-v1"
-        base_provider: str = "anthropic"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class alpaca_7b:
-        name: str = "alpaca-7b"
-        base_provider: str = "replicate"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class stablelm_tuned_alpha_7b:
-        name: str = "stablelm-tuned-alpha-7b"
-        base_provider: str = "replicate"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class bloom:
-        name: str = "bloom"
-        base_provider: str = "huggingface"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class bloomz:
-        name: str = "bloomz"
-        base_provider: str = "huggingface"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class flan_t5_xxl:
-        name: str = "flan-t5-xxl"
-        base_provider: str = "huggingface"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class flan_ul2:
-        name: str = "flan-ul2"
-        base_provider: str = "huggingface"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class gpt_neox_20b:
-        name: str = "gpt-neox-20b"
-        base_provider: str = "huggingface"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class oasst_sft_4_pythia_12b_epoch_35:
-        name: str = "oasst-sft-4-pythia-12b-epoch-3.5"
-        base_provider: str = "huggingface"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class santacoder:
-        name: str = "santacoder"
-        base_provider: str = "huggingface"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class command_medium_nightly:
-        name: str = "command-medium-nightly"
-        base_provider: str = "cohere"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class command_xlarge_nightly:
-        name: str = "command-xlarge-nightly"
-        base_provider: str = "cohere"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class code_cushman_001:
-        name: str = "code-cushman-001"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class code_davinci_002:
-        name: str = "code-davinci-002"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class text_ada_001:
-        name: str = "text-ada-001"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class text_babbage_001:
-        name: str = "text-babbage-001"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class text_curie_001:
-        name: str = "text-curie-001"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class text_davinci_002:
-        name: str = "text-davinci-002"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class text_davinci_003:
-        name: str = "text-davinci-003"
-        base_provider: str = "openai"
-        best_provider: Provider.Provider = Provider.Vercel
-
-    class palm:
-        name: str = "palm2"
-        base_provider: str = "google"
-        best_provider: Provider.Provider = Provider.Bard
-
-    class falcon_40b:
-        name: str = "falcon-40b"
-        base_provider: str = "huggingface"
-        best_provider: Provider.Provider = Provider.H2o
-
-    class falcon_7b:
-        name: str = "falcon-7b"
-        base_provider: str = "huggingface"
-        best_provider: Provider.Provider = Provider.H2o
-
-    class llama_13b:
-        name: str = "llama-13b"
-        base_provider: str = "huggingface"
-        best_provider: Provider.Provider = Provider.H2o
-
-
-class ModelUtils:
-    convert: dict = {
-        "gpt-3.5-turbo": Model.gpt_35_turbo,
-        "gpt-3.5-turbo-0613": Model.gpt_35_turbo_0613,
-        "gpt-3.5-turbo-0301": Model.gpt_35_turbo_0301,
-        "gpt-4": Model.gpt_4,
-        "gpt-4-0613": Model.gpt_4_0613,
-        "gpt-4-for-dev": Model.gpt_4_dev,
-        "gpt-3.5-turbo-16k": Model.gpt_35_turbo_16k,
-        "gpt-3.5-turbo-16k-0613": Model.gpt_35_turbo_16k_0613,
-        "claude-instant-v1-100k": Model.claude_instant_v1_100k,
-        "claude-v1-100k": Model.claude_v1_100k,
-        "claude-instant-v1": Model.claude_instant_v1,
-        "claude-v1": Model.claude_v1,
-        "alpaca-7b": Model.alpaca_7b,
-        "stablelm-tuned-alpha-7b": Model.stablelm_tuned_alpha_7b,
-        "bloom": Model.bloom,
-        "bloomz": Model.bloomz,
-        "flan-t5-xxl": Model.flan_t5_xxl,
-        "flan-ul2": Model.flan_ul2,
-        "gpt-neox-20b": Model.gpt_neox_20b,
-        "oasst-sft-4-pythia-12b-epoch-3.5": Model.oasst_sft_4_pythia_12b_epoch_35,
-        "santacoder": Model.santacoder,
-        "command-medium-nightly": Model.command_medium_nightly,
-        "command-xlarge-nightly": Model.command_xlarge_nightly,
-        "code-cushman-001": Model.code_cushman_001,
-        "code-davinci-002": Model.code_davinci_002,
-        "text-ada-001": Model.text_ada_001,
-        "text-babbage-001": Model.text_babbage_001,
-        "text-curie-001": Model.text_curie_001,
-        "text-davinci-002": Model.text_davinci_002,
-        "text-davinci-003": Model.text_davinci_003,
-        "palm2": Model.palm,
-        "palm": Model.palm,
-        "google": Model.palm,
-        "google-bard": Model.palm,
-        "google-palm": Model.palm,
-        "bard": Model.palm,
-        "falcon-40b": Model.falcon_40b,
-        "falcon-7b": Model.falcon_7b,
-        "llama-13b": Model.llama_13b,
-    }

chat_gpt_microservice/g4f/typing.py

@@ -1,3 +0,0 @@
-from typing import NewType
-
-sha256 = NewType("sha_256_hash", str)

chat_gpt_microservice/g4f/utils.py

@@ -1,49 +0,0 @@
-import browser_cookie3
-
-
-class Utils:
-    browsers = [
-        browser_cookie3.chrome,  # 62.74% market share
-        browser_cookie3.safari,  # 24.12% market share
-        browser_cookie3.firefox,  #  4.56% market share
-        browser_cookie3.edge,  #  2.85% market share
-        browser_cookie3.opera,  #  1.69% market share
-        browser_cookie3.brave,  #  0.96% market share
-        browser_cookie3.opera_gx,  #  0.64% market share
-        browser_cookie3.vivaldi,  #  0.32% market share
-    ]
-
-    def get_cookies(domain: str, setName: str = None, setBrowser: str = False) -> dict:
-        cookies = {}
-
-        if setBrowser != False:
-            for browser in Utils.browsers:
-                if browser.__name__ == setBrowser:
-                    try:
-                        for c in browser(domain_name=domain):
-                            if c.name not in cookies:
-                                cookies = cookies | {c.name: c.value}
-
-                    except Exception:
-                        pass
-
-        else:
-            for browser in Utils.browsers:
-                try:
-                    for c in browser(domain_name=domain):
-                        if c.name not in cookies:
-                            cookies = cookies | {c.name: c.value}
-
-                except Exception:
-                    pass
-
-        if setName:
-            try:
-                return {setName: cookies[setName]}
-
-            except ValueError:
-                print(f"Error: could not find {setName} cookie in any browser.")
-                exit(1)
-
-        else:
-            return cookies

chat_gpt_microservice/get_working_providers.py

@@ -1,7 +0,0 @@
-from g4f.active_providers import get_active_model_providers
-
-working_providers = get_active_model_providers()
-
-print("\nWorking providers by model:")
-for model, providers in working_providers.items():
-    print(f"{model}: {', '.join(providers)}")

chat_gpt_microservice/git-clang-format.py

@@ -0,0 +1,572 @@
+#!/usr/bin/env python
+#
+# ===- git-clang-format - ClangFormat Git Integration ---------*- python -*--===#
+#
+# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+#
+# ===------------------------------------------------------------------------===#
+
+r"""
+clang-format git integration
+============================
+
+This file provides a clang-format integration for git. Put it somewhere in your
+path and ensure that it is executable. Then, "git clang-format" will invoke
+clang-format on the changes in current files or a specific commit.
+
+For further details, run:
+git clang-format -h
+
+Requires Python 2.7 or Python 3
+"""
+
+from __future__ import absolute_import, division, print_function
+
+import argparse
+import collections
+import contextlib
+import errno
+import os
+import re
+import subprocess
+import sys
+
+usage = 'git clang-format [OPTIONS] [<commit>] [<commit>] [--] [<file>...]'
+
+desc = '''
+If zero or one commits are given, run clang-format on all lines that differ
+between the working directory and <commit>, which defaults to HEAD.  Changes are
+only applied to the working directory.
+
+If two commits are given (requires --diff), run clang-format on all lines in the
+second <commit> that differ from the first <commit>.
+
+The following git-config settings set the default of the corresponding option:
+  clangFormat.binary
+  clangFormat.commit
+  clangFormat.extension
+  clangFormat.style
+'''
+
+# Name of the temporary index file in which save the output of clang-format.
+# This file is created within the .git directory.
+temp_index_basename = 'clang-format-index'
+
+
+Range = collections.namedtuple('Range', 'start, count')
+
+
+def main():
+    config = load_git_config()
+
+    # In order to keep '--' yet allow options after positionals, we need to
+    # check for '--' ourselves.  (Setting nargs='*' throws away the '--', while
+    # nargs=argparse.REMAINDER disallows options after positionals.)
+    argv = sys.argv[1:]
+    try:
+        idx = argv.index('--')
+    except ValueError:
+        dash_dash = []
+    else:
+        dash_dash = argv[idx:]
+        argv = argv[:idx]
+
+    default_extensions = ','.join(
+        [
+            # From clang/lib/Frontend/FrontendOptions.cpp, all lower case
+            'c',
+            'h',  # C
+            'm',  # ObjC
+            'mm',  # ObjC++
+            'cc',
+            'cp',
+            'cpp',
+            'c++',
+            'cxx',
+            'hh',
+            'hpp',
+            'hxx',  # C++
+            'cu',  # CUDA
+            # Other languages that clang-format supports
+            'proto',
+            'protodevel',  # Protocol Buffers
+            'java',  # Java
+            'js',  # JavaScript
+            'ts',  # TypeScript
+            'cs',  # C Sharp
+        ]
+    )
+
+    p = argparse.ArgumentParser(usage=usage, formatter_class=argparse.RawDescriptionHelpFormatter, description=desc)
+    p.add_argument('--binary', default=config.get('clangformat.binary', 'clang-format'), help='path to clang-format'),
+    p.add_argument(
+        '--commit', default=config.get('clangformat.commit', 'HEAD'), help='default commit to use if none is specified'
+    ),
+    p.add_argument('--diff', action='store_true', help='print a diff instead of applying the changes')
+    p.add_argument(
+        '--extensions',
+        default=config.get('clangformat.extensions', default_extensions),
+        help=('comma-separated list of file extensions to format, ' 'excluding the period and case-insensitive'),
+    ),
+    p.add_argument('-f', '--force', action='store_true', help='allow changes to unstaged files')
+    p.add_argument('-p', '--patch', action='store_true', help='select hunks interactively')
+    p.add_argument('-q', '--quiet', action='count', default=0, help='print less information')
+    p.add_argument('--style', default=config.get('clangformat.style', None), help='passed to clang-format'),
+    p.add_argument('-v', '--verbose', action='count', default=0, help='print extra information')
+    # We gather all the remaining positional arguments into 'args' since we need
+    # to use some heuristics to determine whether or not <commit> was present.
+    # However, to print pretty messages, we make use of metavar and help.
+    p.add_argument('args', nargs='*', metavar='<commit>', help='revision from which to compute the diff')
+    p.add_argument(
+        'ignored', nargs='*', metavar='<file>...', help='if specified, only consider differences in these files'
+    )
+    opts = p.parse_args(argv)
+
+    opts.verbose -= opts.quiet
+    del opts.quiet
+
+    commits, files = interpret_args(opts.args, dash_dash, opts.commit)
+    if len(commits) > 1:
+        if not opts.diff:
+            die('--diff is required when two commits are given')
+    else:
+        if len(commits) > 2:
+            die('at most two commits allowed; %d given' % len(commits))
+    changed_lines = compute_diff_and_extract_lines(commits, files)
+    if opts.verbose >= 1:
+        ignored_files = set(changed_lines)
+    filter_by_extension(changed_lines, opts.extensions.lower().split(','))
+    if opts.verbose >= 1:
+        ignored_files.difference_update(changed_lines)
+        if ignored_files:
+            print('Ignoring changes in the following files (wrong extension):')
+            for filename in ignored_files:
+                print('    %s' % filename)
+        if changed_lines:
+            print('Running clang-format on the following files:')
+            for filename in changed_lines:
+                print('    %s' % filename)
+    if not changed_lines:
+        print('no modified files to format')
+        return
+    # The computed diff outputs absolute paths, so we must cd before accessing
+    # those files.
+    cd_to_toplevel()
+    if len(commits) > 1:
+        old_tree = commits[1]
+        new_tree = run_clang_format_and_save_to_tree(
+            changed_lines, revision=commits[1], binary=opts.binary, style=opts.style
+        )
+    else:
+        old_tree = create_tree_from_workdir(changed_lines)
+        new_tree = run_clang_format_and_save_to_tree(changed_lines, binary=opts.binary, style=opts.style)
+    if opts.verbose >= 1:
+        print('old tree: %s' % old_tree)
+        print('new tree: %s' % new_tree)
+    if old_tree == new_tree:
+        if opts.verbose >= 0:
+            print('clang-format did not modify any files')
+    elif opts.diff:
+        print_diff(old_tree, new_tree)
+    else:
+        changed_files = apply_changes(old_tree, new_tree, force=opts.force, patch_mode=opts.patch)
+        if (opts.verbose >= 0 and not opts.patch) or opts.verbose >= 1:
+            print('changed files:')
+            for filename in changed_files:
+                print('    %s' % filename)
+
+
+def load_git_config(non_string_options=None):
+    """Return the git configuration as a dictionary.
+
+    All options are assumed to be strings unless in `non_string_options`, in which
+    is a dictionary mapping option name (in lower case) to either "--bool" or
+    "--int"."""
+    if non_string_options is None:
+        non_string_options = {}
+    out = {}
+    for entry in run('git', 'config', '--list', '--null').split('\0'):
+        if entry:
+            name, value = entry.split('\n', 1)
+            if name in non_string_options:
+                value = run('git', 'config', non_string_options[name], name)
+            out[name] = value
+    return out
+
+
+def interpret_args(args, dash_dash, default_commit):
+    """Interpret `args` as "[commits] [--] [files]" and return (commits, files).
+
+    It is assumed that "--" and everything that follows has been removed from
+    args and placed in `dash_dash`.
+
+    If "--" is present (i.e., `dash_dash` is non-empty), the arguments to its
+    left (if present) are taken as commits.  Otherwise, the arguments are checked
+    from left to right if they are commits or files.  If commits are not given,
+    a list with `default_commit` is used."""
+    if dash_dash:
+        if len(args) == 0:
+            commits = [default_commit]
+        else:
+            commits = args
+        for commit in commits:
+            object_type = get_object_type(commit)
+            if object_type not in ('commit', 'tag'):
+                if object_type is None:
+                    die("'%s' is not a commit" % commit)
+                else:
+                    die("'%s' is a %s, but a commit was expected" % (commit, object_type))
+        files = dash_dash[1:]
+    elif args:
+        commits = []
+        while args:
+            if not disambiguate_revision(args[0]):
+                break
+            commits.append(args.pop(0))
+        if not commits:
+            commits = [default_commit]
+        files = args
+    else:
+        commits = [default_commit]
+        files = []
+    return commits, files
+
+
+def disambiguate_revision(value):
+    """Returns True if `value` is a revision, False if it is a file, or dies."""
+    # If `value` is ambiguous (neither a commit nor a file), the following
+    # command will die with an appropriate error message.
+    run('git', 'rev-parse', value, verbose=False)
+    object_type = get_object_type(value)
+    if object_type is None:
+        return False
+    if object_type in ('commit', 'tag'):
+        return True
+    die('`%s` is a %s, but a commit or filename was expected' % (value, object_type))
+
+
+def get_object_type(value):
+    """Returns a string description of an object's type, or None if it is not
+    a valid git object."""
+    cmd = ['git', 'cat-file', '-t', value]
+    p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    stdout, stderr = p.communicate()
+    if p.returncode != 0:
+        return None
+    return convert_string(stdout.strip())
+
+
+def compute_diff_and_extract_lines(commits, files):
+    """Calls compute_diff() followed by extract_lines()."""
+    diff_process = compute_diff(commits, files)
+    changed_lines = extract_lines(diff_process.stdout)
+    diff_process.stdout.close()
+    diff_process.wait()
+    if diff_process.returncode != 0:
+        # Assume error was already printed to stderr.
+        sys.exit(2)
+    return changed_lines
+
+
+def compute_diff(commits, files):
+    """Return a subprocess object producing the diff from `commits`.
+
+    The return value's `stdin` file object will produce a patch with the
+    differences between the working directory and the first commit if a single
+    one was specified, or the difference between both specified commits, filtered
+    on `files` (if non-empty).  Zero context lines are used in the patch."""
+    git_tool = 'diff-index'
+    if len(commits) > 1:
+        git_tool = 'diff-tree'
+    cmd = ['git', git_tool, '-p', '-U0'] + commits + ['--']
+    cmd.extend(files)
+    p = subprocess.Popen(cmd, stdin=subprocess.PIPE, stdout=subprocess.PIPE)
+    p.stdin.close()
+    return p
+
+
+def extract_lines(patch_file):
+    """Extract the changed lines in `patch_file`.
+
+    The return value is a dictionary mapping filename to a list of (start_line,
+    line_count) pairs.
+
+    The input must have been produced with ``-U0``, meaning unidiff format with
+    zero lines of context.  The return value is a dict mapping filename to a
+    list of line `Range`s."""
+    matches = {}
+    for line in patch_file:
+        line = convert_string(line)
+        match = re.search(r'^\+\+\+\ [^/]+/(.*)', line)
+        if match:
+            filename = match.group(1).rstrip('\r\n')
+        match = re.search(r'^@@ -[0-9,]+ \+(\d+)(,(\d+))?', line)
+        if match:
+            start_line = int(match.group(1))
+            line_count = 1
+            if match.group(3):
+                line_count = int(match.group(3))
+            if line_count > 0:
+                matches.setdefault(filename, []).append(Range(start_line, line_count))
+    return matches
+
+
+def filter_by_extension(dictionary, allowed_extensions):
+    """Delete every key in `dictionary` that doesn't have an allowed extension.
+
+    `allowed_extensions` must be a collection of lowercase file extensions,
+    excluding the period."""
+    allowed_extensions = frozenset(allowed_extensions)
+    for filename in list(dictionary.keys()):
+        base_ext = filename.rsplit('.', 1)
+        if len(base_ext) == 1 and '' in allowed_extensions:
+            continue
+        if len(base_ext) == 1 or base_ext[1].lower() not in allowed_extensions:
+            del dictionary[filename]
+
+
+def cd_to_toplevel():
+    """Change to the top level of the git repository."""
+    toplevel = run('git', 'rev-parse', '--show-toplevel')
+    os.chdir(toplevel)
+
+
+def create_tree_from_workdir(filenames):
+    """Create a new git tree with the given files from the working directory.
+
+    Returns the object ID (SHA-1) of the created tree."""
+    return create_tree(filenames, '--stdin')
+
+
+def run_clang_format_and_save_to_tree(changed_lines, revision=None, binary='clang-format', style=None):
+    """Run clang-format on each file and save the result to a git tree.
+
+    Returns the object ID (SHA-1) of the created tree."""
+
+    def iteritems(container):
+        try:
+            return container.iteritems()  # Python 2
+        except AttributeError:
+            return container.items()  # Python 3
+
+    def index_info_generator():
+        for filename, line_ranges in iteritems(changed_lines):
+            if revision:
+                git_metadata_cmd = [
+                    'git',
+                    'ls-tree',
+                    '%s:%s' % (revision, os.path.dirname(filename)),
+                    os.path.basename(filename),
+                ]
+                git_metadata = subprocess.Popen(git_metadata_cmd, stdin=subprocess.PIPE, stdout=subprocess.PIPE)
+                stdout = git_metadata.communicate()[0]
+                mode = oct(int(stdout.split()[0], 8))
+            else:
+                mode = oct(os.stat(filename).st_mode)
+            # Adjust python3 octal format so that it matches what git expects
+            if mode.startswith('0o'):
+                mode = '0' + mode[2:]
+            blob_id = clang_format_to_blob(filename, line_ranges, revision=revision, binary=binary, style=style)
+            yield '%s %s\t%s' % (mode, blob_id, filename)
+
+    return create_tree(index_info_generator(), '--index-info')
+
+
+def create_tree(input_lines, mode):
+    """Create a tree object from the given input.
+
+    If mode is '--stdin', it must be a list of filenames.  If mode is
+    '--index-info' is must be a list of values suitable for "git update-index
+    --index-info", such as "<mode> <SP> <sha1> <TAB> <filename>".  Any other mode
+    is invalid."""
+    assert mode in ('--stdin', '--index-info')
+    cmd = ['git', 'update-index', '--add', '-z', mode]
+    with temporary_index_file():
+        p = subprocess.Popen(cmd, stdin=subprocess.PIPE)
+        for line in input_lines:
+            p.stdin.write(to_bytes('%s\0' % line))
+        p.stdin.close()
+        if p.wait() != 0:
+            die('`%s` failed' % ' '.join(cmd))
+        tree_id = run('git', 'write-tree')
+        return tree_id
+
+
+def clang_format_to_blob(filename, line_ranges, revision=None, binary='clang-format', style=None):
+    """Run clang-format on the given file and save the result to a git blob.
+
+    Runs on the file in `revision` if not None, or on the file in the working
+    directory if `revision` is None.
+
+    Returns the object ID (SHA-1) of the created blob."""
+    clang_format_cmd = [binary]
+    if style:
+        clang_format_cmd.extend(['-style=' + style])
+    clang_format_cmd.extend(
+        ['-lines=%s:%s' % (start_line, start_line + line_count - 1) for start_line, line_count in line_ranges]
+    )
+    if revision:
+        clang_format_cmd.extend(['-assume-filename=' + filename])
+        git_show_cmd = ['git', 'cat-file', 'blob', '%s:%s' % (revision, filename)]
+        git_show = subprocess.Popen(git_show_cmd, stdin=subprocess.PIPE, stdout=subprocess.PIPE)
+        git_show.stdin.close()
+        clang_format_stdin = git_show.stdout
+    else:
+        clang_format_cmd.extend([filename])
+        git_show = None
+        clang_format_stdin = subprocess.PIPE
+    try:
+        clang_format = subprocess.Popen(clang_format_cmd, stdin=clang_format_stdin, stdout=subprocess.PIPE)
+        if clang_format_stdin == subprocess.PIPE:
+            clang_format_stdin = clang_format.stdin
+    except OSError as e:
+        if e.errno == errno.ENOENT:
+            die('cannot find executable "%s"' % binary)
+        else:
+            raise
+    clang_format_stdin.close()
+    hash_object_cmd = ['git', 'hash-object', '-w', '--path=' + filename, '--stdin']
+    hash_object = subprocess.Popen(hash_object_cmd, stdin=clang_format.stdout, stdout=subprocess.PIPE)
+    clang_format.stdout.close()
+    stdout = hash_object.communicate()[0]
+    if hash_object.returncode != 0:
+        die('`%s` failed' % ' '.join(hash_object_cmd))
+    if clang_format.wait() != 0:
+        die('`%s` failed' % ' '.join(clang_format_cmd))
+    if git_show and git_show.wait() != 0:
+        die('`%s` failed' % ' '.join(git_show_cmd))
+    return convert_string(stdout).rstrip('\r\n')
+
+
+@contextlib.contextmanager
+def temporary_index_file(tree=None):
+    """Context manager for setting GIT_INDEX_FILE to a temporary file and deleting
+    the file afterward."""
+    index_path = create_temporary_index(tree)
+    old_index_path = os.environ.get('GIT_INDEX_FILE')
+    os.environ['GIT_INDEX_FILE'] = index_path
+    try:
+        yield
+    finally:
+        if old_index_path is None:
+            del os.environ['GIT_INDEX_FILE']
+        else:
+            os.environ['GIT_INDEX_FILE'] = old_index_path
+        os.remove(index_path)
+
+
+def create_temporary_index(tree=None):
+    """Create a temporary index file and return the created file's path.
+
+    If `tree` is not None, use that as the tree to read in.  Otherwise, an
+    empty index is created."""
+    gitdir = run('git', 'rev-parse', '--git-dir')
+    path = os.path.join(gitdir, temp_index_basename)
+    if tree is None:
+        tree = '--empty'
+    run('git', 'read-tree', '--index-output=' + path, tree)
+    return path
+
+
+def print_diff(old_tree, new_tree):
+    """Print the diff between the two trees to stdout."""
+    # We use the porcelain 'diff' and not plumbing 'diff-tree' because the output
+    # is expected to be viewed by the user, and only the former does nice things
+    # like color and pagination.
+    #
+    # We also only print modified files since `new_tree` only contains the files
+    # that were modified, so unmodified files would show as deleted without the
+    # filter.
+    subprocess.check_call(['git', 'diff', '--diff-filter=M', old_tree, new_tree, '--'])
+
+
+def apply_changes(old_tree, new_tree, force=False, patch_mode=False):
+    """Apply the changes in `new_tree` to the working directory.
+
+    Bails if there are local changes in those files and not `force`.  If
+    `patch_mode`, runs `git checkout --patch` to select hunks interactively."""
+    changed_files = (
+        run('git', 'diff-tree', '--diff-filter=M', '-r', '-z', '--name-only', old_tree, new_tree)
+        .rstrip('\0')
+        .split('\0')
+    )
+    if not force:
+        unstaged_files = run('git', 'diff-files', '--name-status', *changed_files)
+        if unstaged_files:
+            print('The following files would be modified but ' 'have unstaged changes:', file=sys.stderr)
+            print(unstaged_files, file=sys.stderr)
+            print('Please commit, stage, or stash them first.', file=sys.stderr)
+            sys.exit(2)
+    if patch_mode:
+        # In patch mode, we could just as well create an index from the new tree
+        # and checkout from that, but then the user will be presented with a
+        # message saying "Discard ... from worktree".  Instead, we use the old
+        # tree as the index and checkout from new_tree, which gives the slightly
+        # better message, "Apply ... to index and worktree".  This is not quite
+        # right, since it won't be applied to the user's index, but oh well.
+        with temporary_index_file(old_tree):
+            subprocess.check_call(['git', 'checkout', '--patch', new_tree])
+    else:
+        with temporary_index_file(new_tree):
+            run('git', 'checkout-index', '-a', '-f')
+    return changed_files
+
+
+def run(*args, **kwargs):
+    stdin = kwargs.pop('stdin', '')
+    verbose = kwargs.pop('verbose', True)
+    strip = kwargs.pop('strip', True)
+    for name in kwargs:
+        raise TypeError("run() got an unexpected keyword argument '%s'" % name)
+    p = subprocess.Popen(args, stdout=subprocess.PIPE, stderr=subprocess.PIPE, stdin=subprocess.PIPE)
+    stdout, stderr = p.communicate(input=stdin)
+
+    stdout = convert_string(stdout)
+    stderr = convert_string(stderr)
+
+    if p.returncode == 0:
+        if stderr:
+            if verbose:
+                print('`%s` printed to stderr:' % ' '.join(args), file=sys.stderr)
+            print(stderr.rstrip(), file=sys.stderr)
+        if strip:
+            stdout = stdout.rstrip('\r\n')
+        return stdout
+    if verbose:
+        print('`%s` returned %s' % (' '.join(args), p.returncode), file=sys.stderr)
+    if stderr:
+        print(stderr.rstrip(), file=sys.stderr)
+    sys.exit(2)
+
+
+def die(message):
+    print('error:', message, file=sys.stderr)
+    sys.exit(2)
+
+
+def to_bytes(str_input):
+    # Encode to UTF-8 to get binary data.
+    if isinstance(str_input, bytes):
+        return str_input
+    return str_input.encode('utf-8')
+
+
+def to_string(bytes_input):
+    if isinstance(bytes_input, str):
+        return bytes_input
+    return bytes_input.encode('utf-8')
+
+
+def convert_string(bytes_input):
+    try:
+        return to_string(bytes_input.decode('utf-8'))
+    except AttributeError:  # 'str' object has no attribute 'decode'.
+        return str(bytes_input)
+    except UnicodeError:
+        return str(bytes_input)
+
+
+if __name__ == '__main__':
+    main()

chat_gpt_microservice/include/cfg.h

@@ -0,0 +1,19 @@
+#pragma once
+
+#include <yaml_cpp_struct.hpp>
+
+struct Config {
+    std::string client_root_path;
+    std::size_t interval{300};
+    std::size_t work_thread_num{8};
+    std::string host{"0.0.0.0"};
+    std::string port{"8858"};
+    std::string chat_path{"/chat"};
+    std::vector<std::string> providers;
+    bool enable_proxy;
+    std::string http_proxy;
+    std::string api_key;
+    std::vector<std::string> ip_white_list;
+};
+YCS_ADD_STRUCT(Config, client_root_path, interval, work_thread_num, host, port, chat_path, providers, enable_proxy,
+               http_proxy, api_key, ip_white_list)

chat_gpt_microservice/include/free_gpt.h

@@ -0,0 +1,48 @@
+#pragma once
+
+#include <expected>
+#include <memory>
+
+#include <boost/asio/awaitable.hpp>
+#include <boost/asio/experimental/channel.hpp>
+#include <boost/asio/thread_pool.hpp>
+#include <boost/beast.hpp>
+#include <boost/beast/ssl.hpp>
+#include <nlohmann/json.hpp>
+
+#include "cfg.h"
+
+class FreeGpt final {
+public:
+    using Channel = boost::asio::experimental::channel<void(boost::system::error_code, std::string)>;
+
+    FreeGpt(Config&);
+
+    boost::asio::awaitable<void> aiTianhu(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> aiTianhuSpace(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> deepAi(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> aiChat(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> chatGptAi(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> weWordle(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> acytoo(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> openAi(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> h2o(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> yqcloud(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> huggingChat(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> you(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> binjie(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> codeLinkAva(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> chatBase(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> aivvm(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> ylokh(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> vitalentum(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> gptGo(std::shared_ptr<Channel>, nlohmann::json);
+    boost::asio::awaitable<void> aibn(std::shared_ptr<Channel>, nlohmann::json);
+
+private:
+    boost::asio::awaitable<std::expected<boost::beast::ssl_stream<boost::beast::tcp_stream>, std::string>>
+    createHttpClient(boost::asio::ssl::context&, std::string_view /* host */, std::string_view /* port */);
+
+    Config& m_cfg;
+    std::shared_ptr<boost::asio::thread_pool> m_thread_pool_ptr;
+};

chat_gpt_microservice/include/helper.hpp

@@ -0,0 +1,103 @@
+#pragma once
+
+#include <list>
+#include <thread>
+#include <vector>
+
+#include <boost/asio.hpp>
+#include <boost/uuid/uuid.hpp>
+#include <boost/uuid/uuid_generators.hpp>
+#include <boost/uuid/uuid_io.hpp>
+
+constexpr auto use_nothrow_awaitable = boost::asio::as_tuple(boost::asio::use_awaitable);
+
+class IoContextPool final {
+public:
+    explicit IoContextPool(std::size_t);
+
+    void start();
+    void stop();
+
+    boost::asio::io_context& getIoContext();
+
+private:
+    std::vector<std::shared_ptr<boost::asio::io_context>> m_io_contexts;
+    std::list<boost::asio::any_io_executor> m_work;
+    std::size_t m_next_io_context;
+    std::vector<std::jthread> m_threads;
+};
+
+inline IoContextPool::IoContextPool(std::size_t pool_size) : m_next_io_context(0) {
+    if (pool_size == 0)
+        throw std::runtime_error("IoContextPool size is 0");
+    for (std::size_t i = 0; i < pool_size; ++i) {
+        auto io_context_ptr = std::make_shared<boost::asio::io_context>();
+        m_io_contexts.emplace_back(io_context_ptr);
+        m_work.emplace_back(
+            boost::asio::require(io_context_ptr->get_executor(), boost::asio::execution::outstanding_work.tracked));
+    }
+}
+
+inline void IoContextPool::start() {
+    for (auto& context : m_io_contexts)
+        m_threads.emplace_back(std::jthread([&] { context->run(); }));
+}
+
+inline void IoContextPool::stop() {
+    for (auto& context_ptr : m_io_contexts)
+        context_ptr->stop();
+}
+
+inline boost::asio::io_context& IoContextPool::getIoContext() {
+    boost::asio::io_context& io_context = *m_io_contexts[m_next_io_context];
+    ++m_next_io_context;
+    if (m_next_io_context == m_io_contexts.size())
+        m_next_io_context = 0;
+    return io_context;
+}
+
+inline boost::asio::awaitable<void> timeout(std::chrono::seconds duration) {
+    auto now = std::chrono::steady_clock::now() + duration;
+    boost::asio::steady_timer timer(co_await boost::asio::this_coro::executor);
+    timer.expires_at(now);
+    [[maybe_unused]] auto [ec] = co_await timer.async_wait(boost::asio::as_tuple(boost::asio::use_awaitable));
+    co_return;
+}
+
+template <typename... Args>
+inline auto getEnv(Args&&... args) {
+    auto impl = []<std::size_t... I>(auto&& tp, std::index_sequence<I...>) {
+        auto func = [](std::string_view env_name) {
+            const char* env = std::getenv(env_name.data());
+            if (env == nullptr)
+                return std::string{};
+            return std::string{env};
+        };
+        return std::make_tuple(func(std::get<I>(tp))...);
+    };
+    return impl(std::forward_as_tuple(args...), std::index_sequence_for<Args...>{});
+}
+
+class ScopeExit {
+public:
+    ScopeExit(const ScopeExit&) = delete;
+    ScopeExit& operator=(const ScopeExit&) = delete;
+
+    template <typename Callable>
+    explicit ScopeExit(Callable&& call) : m_call(std::forward<Callable>(call)) {}
+
+    ~ScopeExit() {
+        if (m_call)
+            m_call();
+    }
+
+    void clear() { m_call = decltype(m_call)(); }
+
+private:
+    std::function<void()> m_call;
+};
+
+inline std::string createUuidString() {
+    static thread_local boost::uuids::random_generator gen;
+    return boost::uuids::to_string(gen());
+}