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rename chatgpt microservice (#30)

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* rename chagpt microservice

* add deprecated models
This commit is contained in:
Dmitry Afanasyev
2023-10-09 00:22:26 +03:00
committed by GitHub
parent 6a97c29023
commit f6f3865fb6
34 changed files with 14 additions and 4 deletions
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---
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

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name: build
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_TOKEN }}
- 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

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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# others
.config/
.upm/
.vscode/
# PyCharm
# JetBrains specific template is maintainted in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
.idea/

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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"]

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Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
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This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
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You should also get your employer (if you work as a programmer) or school,
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For more information on this, and how to apply and follow the GNU GPL, see
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The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.

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# Cpp FreeGPT WebUI
## GPT 3.5/4
<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.
## Getting Started :white_check_mark:
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/fantasy-peak/cpp-freegpt-webui.git
```
## Compile And Running the Application :rocket:
To run the application, run the following command:
```
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 -y
xmake install -o .
cd bin
./cpp-freegpt-webui ../cfg/cpp-free-gpt.yml
```
Access the application in your browser using the URL:
```
http://127.0.0.1:8858/chat
```
### Running the Docker
Pull the Docker image from Docker Hub:
```
docker pull fantasypeak/freegpt:latest
```
Run the application using Docker:
```
docker run -p 8858:8858 -it --name freegpt fantasypeak/freegpt:latest
// OR
docker run --net=host -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
```
### Call OpenAi Api
```
// 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
```
### 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.
## 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
improve their security or request the removal of their site from this repository.
Please note the following:
1. **Disclaimer**: The APIs, services, and trademarks mentioned in this repository belong to their respective owners.
This project is _not_ claiming any right over them nor is it affiliated with or endorsed by any of the providers
mentioned.
2. **Responsibility**: The author of this repository is _not_ responsible for any consequences, damages, or losses
arising from the use or misuse of this repository or the content provided by the third-party APIs. Users are solely
responsible for their actions and any repercussions that may follow. We strongly recommend the users to follow the
TOS of the each Website.
3. **Educational Purposes Only**: This repository and its content are provided strictly for educational purposes. By
using the information and code provided, users acknowledge that they are using the APIs and models at their own risk
and agree to comply with any applicable laws and regulations.
4. **Copyright**: All content in this repository, including but not limited to code, images, and documentation, is the
intellectual property of the repository author, unless otherwise stated. Unauthorized copying, distribution, or use
of any content in this repository is strictly prohibited without the express written consent of the repository
author.
5. **Indemnification**: Users agree to indemnify, defend, and hold harmless the author of this repository from and
against any and all claims, liabilities, damages, losses, or expenses, including legal fees and costs, arising out of
or in any way connected with their use or misuse of this repository, its content, or related third-party APIs.
6. **Updates and Changes**: The author reserves the right to modify, update, or remove any content, information, or
features in this repository at any time without prior notice. Users are responsible for regularly reviewing the
content and any changes made to this repository.
By using this repository or any code related to it, you agree to these terms. The author is not responsible for any
copies, forks, or reuploads made by other users. This is the author's only account and repository. To prevent
impersonation or irresponsible actions, you may comply with the GNU GPL license this Repository uses.

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---
client_root_path: "../client"
enable_proxy: true
providers: []
ip_white_list: []

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@import url("https://fonts.googleapis.com/css2?family=Inter:wght@100;200;300;400;500;600;700;800;900&display=swap");
/* :root {
--colour-1: #ffffff;
--colour-2: #000000;
--colour-3: #000000;
--colour-4: #000000;
--colour-5: #000000;
--colour-6: #000000;
--accent: #ffffff;
--blur-bg: #98989866;
--blur-border: #00000040;
--user-input: #000000;
--conversations: #000000;
} */
: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;
}

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<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="description" content="A conversational AI system that listens, learns, and challenges">
<meta property="og:title" content="ChatGPT">
<meta property="og:image" content="https://openai.com/content/images/2022/11/ChatGPT.jpg">
<meta property="og:description" content="A conversational AI system that listens, learns, and challenges">
<meta property="og:url" content="https://chat.acy.dev">
<link rel="stylesheet" href="{{chat_path}}/assets/css/style.css">
<link rel="apple-touch-icon" sizes="180x180" href="{{chat_path}}/assets/img/apple-touch-icon.png">
<link rel="icon" type="image/png" sizes="32x32" href="{{chat_path}}/assets/img/favicon-32x32.png">
<link rel="icon" type="image/png" sizes="16x16" href="{{chat_path}}/assets/img/favicon-16x16.png">
<link rel="manifest" href="{{chat_path}}/assets/img/site.webmanifest">
<script src="{{chat_path}}/assets/js/icons.js"></script>
<script src="{{chat_path}}/assets/js/chat.js" defer></script>
<script src="https://cdn.jsdelivr.net/npm/markdown-it@latest/dist/markdown-it.min.js"></script>
<link rel="stylesheet" href="//cdn.jsdelivr.net/gh/highlightjs/cdn-release@latest/build/styles/base16/dracula.min.css">
<script>
const user_image = `<img src="{{chat_path}}/assets/img/user.png" alt="User Avatar">`;
const gpt_image = `<img src="{{chat_path}}/assets/img/gpt.png" alt="GPT Avatar">`;
</script>
<style>
.hljs {
color: #e9e9f4;
background: #28293629;
border-radius: var(--border-radius-1);
border: 1px solid var(--blur-border);
font-size: 15px;
}
#message-input {
margin-right: 30px;
height: 80px;
}
#message-input::-webkit-scrollbar {
width: 5px;
}
/* Track */
#message-input::-webkit-scrollbar-track {
background: #f1f1f1;
}
/* Handle */
#message-input::-webkit-scrollbar-thumb {
background: #c7a2ff;
}
/* Handle on hover */
#message-input::-webkit-scrollbar-thumb:hover {
background: #8b3dff;
}
</style>
<script src="{{chat_path}}/assets/js/highlight.min.js"></script>
<script src="{{chat_path}}/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: 0.0.7 <br>
Release: 2023-09-28<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>

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{
"name": "",
"short_name": "",
"icons": [
{
"src": "{{chat_path}}/assets/img/android-chrome-192x192.png",
"sizes": "192x192",
"type": "image/png"
},
{
"src": "{{chat_path}}/assets/img/android-chrome-512x512.png",
"sizes": "512x512",
"type": "image/png"
}
],
"theme_color": "#ffffff",
"background_color": "#ffffff",
"display": "standalone"
}

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const query = (obj) =>
Object.keys(obj)
.map((k) => encodeURIComponent(k) + "=" + encodeURIComponent(obj[k]))
.join("&");
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 send_button = document.querySelector(`#send-button`);
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);
});
message_input.addEventListener("focus", () => {
document.documentElement.scrollTop = document.documentElement.scrollHeight;
});
const delete_conversations = async () => {
localStorage.clear();
await new_conversation();
};
const handle_ask = async () => {
message_input.style.height = `80px`;
message_input.focus();
window.scrollTo(0, 0);
let message = message_input.value;
if (message.length > 0) {
message_input.value = ``;
await ask_gpt(message);
}
};
const remove_cancel_button = async () => {
stop_generating.classList.add(`stop_generating-hiding`);
setTimeout(() => {
stop_generating.classList.remove(`stop_generating-hiding`);
stop_generating.classList.add(`stop_generating-hidden`);
}, 300);
};
const ask_gpt = async (message) => {
try {
message_input.value = ``;
message_input.innerHTML = ``;
message_input.innerText = ``;
add_conversation(window.conversation_id, message.substr(0, 20));
window.scrollTo(0, 0);
window.controller = new AbortController();
jailbreak = document.getElementById("jailbreak");
model = document.getElementById("model");
prompt_lock = true;
window.text = ``;
window.token = message_id();
stop_generating.classList.remove(`stop_generating-hidden`);
message_box.innerHTML += `
<div class="message">
<div class="user">
${user_image}
<i class="fa-regular fa-phone-arrow-up-right"></i>
</div>
<div class="content" id="user_${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>
</div>
</div>
`;
message_box.scrollTop = message_box.scrollHeight;
window.scrollTo(0, 0);
await new Promise((r) => setTimeout(r, 1000));
window.scrollTo(0, 0);
const response = await fetch(`/backend-api/v2/conversation`, {
method: `POST`,
signal: window.controller.signal,
headers: {
"content-type": `application/json`,
accept: `text/event-stream`,
},
body: JSON.stringify({
conversation_id: window.conversation_id,
action: `_ask`,
model: model.options[model.selectedIndex].value,
jailbreak: jailbreak.options[jailbreak.selectedIndex].value,
meta: {
id: window.token,
content: {
conversation: await get_conversation(window.conversation_id),
internet_access: document.getElementById("switch").checked,
content_type: "text",
parts: [
{
content: message,
role: "user",
},
],
},
},
}),
});
const reader = response.body.getReader();
while (true) {
const { value, done } = await reader.read();
if (done) break;
chunk = new TextDecoder().decode(value);
if (
chunk.includes(
`<form id="challenge-form" action="/backend-api/v2/conversation?`
)
) {
chunk = `cloudflare token expired, please refresh the page.`;
}
text += chunk;
// const objects = chunk.match(/({.+?})/g);
// try { if (JSON.parse(objects[0]).success === false) throw new Error(JSON.parse(objects[0]).error) } catch (e) {}
// objects.forEach((object) => {
// console.log(object)
// try { text += h2a(JSON.parse(object).content) } catch(t) { console.log(t); throw new Error(t)}
// });
document.getElementById(`gpt_${window.token}`).innerHTML =
markdown.render(text);
document.querySelectorAll(`code`).forEach((el) => {
hljs.highlightElement(el);
});
window.scrollTo(0, 0);
message_box.scrollTo({ top: message_box.scrollHeight, behavior: "auto" });
}
// if text contains :
if (
text.includes(
`instead. Maintaining this website and API costs a lot of money`
)
) {
document.getElementById(`gpt_${window.token}`).innerHTML =
"An error occured, please reload / refresh cache and try again.";
}
add_message(window.conversation_id, "user", message, token);
add_message(window.conversation_id, "assistant", text, token);
message_box.scrollTop = message_box.scrollHeight;
await remove_cancel_button();
prompt_lock = false;
await load_conversations(20, 0);
window.scrollTo(0, 0);
} catch (e) {
add_message(window.conversation_id, "user", message, token);
message_box.scrollTop = message_box.scrollHeight;
await remove_cancel_button();
prompt_lock = false;
await load_conversations(20, 0);
console.log(e);
let cursorDiv = document.getElementById(`cursor`);
if (cursorDiv) cursorDiv.parentNode.removeChild(cursorDiv);
if (e.name != `AbortError`) {
let error_message = `oops ! something went wrong, please try again / reload. [stacktrace in console]`;
document.getElementById(`gpt_${window.token}`).innerHTML = error_message;
add_message(window.conversation_id, "assistant", error_message, token);
} else {
document.getElementById(`gpt_${window.token}`).innerHTML += ` [aborted]`;
add_message(window.conversation_id, "assistant", text + ` [aborted]`, token);
}
window.scrollTo(0, 0);
}
};
const clear_conversations = async () => {
const elements = box_conversations.childNodes;
let index = elements.length;
if (index > 0) {
while (index--) {
const element = elements[index];
if (
element.nodeType === Node.ELEMENT_NODE &&
element.tagName.toLowerCase() !== `button`
) {
box_conversations.removeChild(element);
}
}
}
};
const clear_conversation = async () => {
let messages = message_box.getElementsByTagName(`div`);
while (messages.length > 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:${conversation_id}`);
const conversation = document.getElementById(`convo-${conversation_id}`);
conversation.remove();
if (window.conversation_id == conversation_id) {
await new_conversation();
}
await load_conversations(20, 0, true);
};
const set_conversation = async (conversation_id) => {
history.pushState({}, null, `{{chat_path}}/${conversation_id}`);
window.conversation_id = conversation_id;
await clear_conversation();
await load_conversation(conversation_id);
await load_conversations(20, 0, true);
};
const new_conversation = async () => {
history.pushState({}, null, `{{chat_path}}/`);
window.conversation_id = uuid();
await clear_conversation();
await load_conversations(20, 0, true);
};
const load_conversation = async (conversation_id) => {
let conversation = await JSON.parse(
localStorage.getItem(`conversation:${conversation_id}`)
);
console.log(conversation, conversation_id);
for (item of conversation.items) {
message_box.innerHTML += `
<div class="message">
<div class="user">
${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>
${
item.role == "user"
? `<div class="content" id="user_${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>
`;
}
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 get_conversation = async (conversation_id) => {
let conversation = await JSON.parse(
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) {
localStorage.setItem(
`conversation:${conversation_id}`,
JSON.stringify({
id: conversation_id,
title: title,
items: [],
})
);
}
};
const add_message = async (conversation_id, role, content, token) => {
before_adding = JSON.parse(
localStorage.getItem(`conversation:${conversation_id}`)
);
before_adding.items.push({
role: role,
content: content,
token: token,
});
localStorage.setItem(
`conversation:${conversation_id}`,
JSON.stringify(before_adding)
); // update conversation
};
const load_conversations = async (limit, offset, loader) => {
//console.log(loader);
//if (loader === undefined) box_conversations.appendChild(spinner);
let conversations = [];
for (let i = 0; i < localStorage.length; i++) {
if (localStorage.key(i).startsWith("conversation:")) {
let conversation = localStorage.getItem(localStorage.key(i));
conversations.push(JSON.parse(conversation));
}
}
//if (loader === undefined) spinner.parentNode.removeChild(spinner)
await clear_conversations();
for (conversation of conversations) {
box_conversations.innerHTML += `
<div class="convo" id="convo-${conversation.id}">
<div class="left" onclick="set_conversation('${conversation.id}')">
<i class="fa-regular fa-comments"></i>
<span class="convo-title">${conversation.title}</span>
</div>
<i onclick="show_option('${conversation.id}')" class="fa-regular fa-trash" id="conv-${conversation.id}"></i>
<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) => {
hljs.highlightElement(el);
});
};
document.getElementById(`cancelButton`).addEventListener(`click`, async () => {
window.controller.abort();
console.log(`aborted ${window.conversation_id}`);
});
function h2a(str1) {
var hex = str1.toString();
var str = "";
for (var n = 0; n < hex.length; n += 2) {
str += String.fromCharCode(parseInt(hex.substr(n, 2), 16));
}
return str;
}
const uuid = () => {
return `xxxxxxxx-xxxx-4xxx-yxxx-${Date.now().toString(16)}`.replace(
/[xy]/g,
function (c) {
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
);
unix = Math.floor(Date.now() / 1000).toString(2);
return BigInt(`0b${unix}${random_bytes}`).toString();
};
window.onload = async () => {
load_settings_localstorage();
conversations = 0;
for (let i = 0; i < localStorage.length; i++) {
if (localStorage.key(i).startsWith("conversation:")) {
conversations += 1;
}
}
if (conversations == 0) localStorage.clear();
await setTimeout(() => {
load_conversations(20, 0);
}, 1);
if (!window.location.href.endsWith(`#`)) {
if (/{{chat_path}}\/.+/.test(window.location.href)) {
await load_conversation(window.conversation_id);
}
}
message_input.addEventListener(`keydown`, async (evt) => {
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";
}
});
send_button.addEventListener(`click`, async () => {
console.log("clicked send");
if (prompt_lock) return;
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_elements = settings_ids.map((id) => document.getElementById(id));
settings_elements.map((element) =>
element.addEventListener(`change`, async (event) => {
switch (event.target.type) {
case "checkbox":
localStorage.setItem(event.target.id, event.target.checked);
break;
case "select-one":
localStorage.setItem(event.target.id, event.target.selectedIndex);
break;
default:
console.warn("Unresolved element type");
}
})
);
};
const load_settings_localstorage = async () => {
settings_ids = ["switch", "model", "jailbreak"];
settings_elements = settings_ids.map((id) => document.getElementById(id));
settings_elements.map((element) => {
if (localStorage.getItem(element.id)) {
switch (element.type) {
case "checkbox":
element.checked = localStorage.getItem(element.id) === "true";
break;
case "select-one":
element.selectedIndex = parseInt(localStorage.getItem(element.id));
break;
default:
console.warn("Unresolved element type");
}
}
});
};
// Theme storage for recurring viewers
const storeTheme = function (theme) {
localStorage.setItem("theme", theme);
};
// 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);
};
}
document.onload = setTheme();

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class CopyButtonPlugin{constructor(options={}){self.hook=options.hook;self.callback=options.callback}"after:highlightElement"({el,text}){let button=Object.assign(document.createElement("button"),{innerHTML:"Copy",className:"hljs-copy-button"});button.dataset.copied=false;el.parentElement.classList.add("hljs-copy-wrapper");el.parentElement.appendChild(button);el.parentElement.style.setProperty("--hljs-theme-background",window.getComputedStyle(el).backgroundColor);button.onclick=function(){if(!navigator.clipboard)return;let newText=text;if(hook&&typeof hook==="function"){newText=hook(text,el)||text}navigator.clipboard.writeText(newText).then(function(){button.innerHTML="Copied!";button.dataset.copied=true;let alert=Object.assign(document.createElement("div"),{role:"status",className:"hljs-copy-alert",innerHTML:"Copied to clipboard"});el.parentElement.appendChild(alert);setTimeout(()=>{button.innerHTML="Copy";button.dataset.copied=false;el.parentElement.removeChild(alert);alert=null},2e3)}).then(function(){if(typeof callback==="function")return callback(newText,el)})}}}

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boost::asio::awaitable<void> FreeGpt::chatGptAi(std::shared_ptr<Channel> ch, nlohmann::json json) {
ScopeExit auto_exit{[&] { ch->close(); }};
boost::system::error_code err{};
constexpr std::string_view host = "chatgpt.ai";
constexpr std::string_view port = "443";
constexpr std::string_view user_agent{
R"(Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36)"};
boost::beast::http::request<boost::beast::http::empty_body> req{boost::beast::http::verb::get, "/", 11};
req.set(boost::beast::http::field::host, "chatgpt.ai");
req.set(boost::beast::http::field::user_agent, user_agent);
req.set("Accept", "*/*");
int recreate_num{0};
create_client:
boost::asio::ssl::context ctx(boost::asio::ssl::context::tls);
ctx.set_verify_mode(boost::asio::ssl::verify_none);
auto client = co_await createHttpClient(ctx, host, port);
if (!client.has_value()) {
SPDLOG_ERROR("createHttpClient: {}", client.error());
co_await ch->async_send(err, client.error(), use_nothrow_awaitable);
co_return;
}
auto& stream_ = client.value();
std::string chunk_body;
std::string cookie;
auto ret = co_await sendRequestRecvChunk(
ch, stream_, req, 200, [&ch, &chunk_body](std::string recv_str) { chunk_body.append(std::move(recv_str)); },
[&](const boost::beast::http::parser<false, boost::beast::http::empty_body>& p) {
auto& headers = p.get();
for (const auto& header : headers) {
if (boost::beast::http::to_string(header.name()) == "Set-Cookie") {
cookie = header.value();
return;
}
}
});
SPDLOG_ERROR("cookie: {}", cookie);
if (ret == Status::Close && recreate_num == 0) {
recreate_num++;
goto create_client;
}
if (ret == Status::HasError)
co_return;
static std::string pattern{R"(data-system='(.*?)')"};
std::vector<std::string> matches = findAll(pattern, chunk_body);
if (matches.empty()) {
SPDLOG_ERROR("parsing login failed");
co_await ch->async_send(err, chunk_body, use_nothrow_awaitable);
co_return;
}
auto html_unescape = [](const std::string& text) {
std::string result = text;
boost::replace_all(result, "&amp;", "&");
boost::replace_all(result, "&lt;", "<");
boost::replace_all(result, "&gt;", ">");
boost::replace_all(result, "&quot;", "\"");
boost::replace_all(result, "&#39;", "'");
return result;
};
std::string html_json_str;
std::regex regex("'(.*?)'");
std::smatch result;
if (std::regex_search(matches[0], result, regex))
html_json_str = html_unescape(result[1]);
if (html_json_str.empty()) {
SPDLOG_ERROR("extract json fail");
co_await ch->async_send(err, chunk_body, use_nothrow_awaitable);
co_return;
}
nlohmann::json j = nlohmann::json::parse(html_json_str, nullptr, false);
if (j.is_discarded()) {
SPDLOG_ERROR("json parse error");
co_await ch->async_send(err, "json parse error", use_nothrow_awaitable);
co_return;
}
SPDLOG_INFO("json: {}", j.dump());
auto prompt = json.at("meta").at("content").at("parts").at(0).at("content").get<std::string>();
boost::beast::http::request<boost::beast::http::string_body> request{boost::beast::http::verb::post,
"/wp-json/mwai-ui/v1/chats/submit", 11};
request.set(boost::beast::http::field::host, host);
request.set("authority", "chatgpt.ai");
request.set("accept", "*/*");
request.set("accept-language", R"(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)");
request.set("cache-control", "no-cache");
request.set("origin", "https://chatgpt.ai");
request.set("pragma", "no-cache");
request.set(boost::beast::http::field::referer, "https://chatgpt.ai/");
request.set("sec-ch-ua", R"("Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114")");
request.set("sec-ch-ua-mobile", "?0");
request.set("sec-ch-ua-platform", R"("Windows")");
request.set("sec-fetch-dest", "empty");
request.set("sec-fetch-mode", "cors");
request.set("sec-fetch-site", "same-origin");
request.set("Cookie", cookie);
request.set(boost::beast::http::field::user_agent, user_agent);
request.set("Content-Type", "application/json");
constexpr std::string_view json_str = R"({
"botId":"chatbot-9vy3t5",
"clientId":"",
"contextId":1048,
"id":"chatbot-9vy3t5",
"messages":[],
"newMessage":"hello",
"session":"N/A",
"stream":true
})";
nlohmann::json request_json = nlohmann::json::parse(json_str, nullptr, false);
request_json["botId"] = j["botId"];
request_json["clientId"] = "";
request_json["contextId"] = j["contextId"];
request_json["id"] = j["id"];
request_json["session"] = j["sessionId"];
request_json["newMessage"] = prompt;
SPDLOG_INFO("request: {}", request_json.dump());
request.body() = request_json.dump();
request.prepare_payload();
std::string recv;
co_await sendRequestRecvChunk(ch, stream_, request, 200, [&](std::string str) {
recv.append(str);
while (true) {
auto position = recv.find("\n");
if (position == std::string::npos)
break;
auto msg = recv.substr(0, position + 1);
recv.erase(0, position + 1);
msg.pop_back();
if (msg.empty())
continue;
auto fields = splitString(msg, "data: ");
boost::system::error_code err{};
nlohmann::json line_json = nlohmann::json::parse(fields.back(), nullptr, false);
if (line_json.is_discarded()) {
SPDLOG_ERROR("json parse error: [{}]", fields.back());
ch->try_send(err, std::format("json parse error: [{}]", fields.back()));
continue;
}
auto type = line_json["type"].get<std::string>();
if (type == "live")
ch->try_send(err, line_json["data"].get<std::string>());
}
});
co_return;
}

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chatgpt_microservice/git-clang-format.py Normal file
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#!/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()

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#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)

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#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> 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> 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);
boost::asio::awaitable<void> chatGptDuo(std::shared_ptr<Channel>, nlohmann::json);
boost::asio::awaitable<void> chatForAi(std::shared_ptr<Channel>, nlohmann::json);
boost::asio::awaitable<void> freeGpt(std::shared_ptr<Channel>, nlohmann::json);
boost::asio::awaitable<void> cromicle(std::shared_ptr<Channel>, nlohmann::json);
boost::asio::awaitable<void> chatGpt4Online(std::shared_ptr<Channel>, nlohmann::json);
boost::asio::awaitable<void> gptalk(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;
};

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#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());
}

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#define OPEN_YAML_TO_JSON
#include <format>
#include <functional>
#include <regex>
#include <semaphore>
#include <string>
#include <stdio.h>
#include <stdlib.h>
#include <boost/asio/as_tuple.hpp>
#include <boost/asio/co_spawn.hpp>
#include <boost/asio/detached.hpp>
#include <boost/asio/experimental/awaitable_operators.hpp>
#include <curl/curl.h>
#include <spdlog/spdlog.h>
#include <inja/inja.hpp>
#include "cfg.h"
#include "free_gpt.h"
#include "helper.hpp"
constexpr std::string_view ASSETS_PATH{"/assets"};
constexpr std::string_view API_PATH{"/backend-api/v2/conversation"};
using GptCallback = std::function<boost::asio::awaitable<void>(std::shared_ptr<FreeGpt::Channel>, nlohmann::json)>;
inline std::unordered_map<std::string, GptCallback> gpt_function;
#define ADD_METHOD(name, function) gpt_function[name] = std::bind_front(&function, app);
void setEnvironment(auto& cfg) {
setenv("CURL_IMPERSONATE", "chrome110", 1);
if (cfg.enable_proxy) {
auto [lower_http_proxy, upper_http_proxy] = getEnv("http_proxy", "HTTP_PROXY");
if (!lower_http_proxy.empty())
cfg.http_proxy = std::move(lower_http_proxy);
if (!upper_http_proxy.empty())
cfg.http_proxy = std::move(upper_http_proxy);
}
if (auto [chat_path] = getEnv("CHAT_PATH"); !chat_path.empty()) {
cfg.chat_path = std::move(chat_path);
}
if (cfg.chat_path.back() == '/')
cfg.chat_path.pop_back();
if (auto [port] = getEnv("PORT"); !port.empty())
cfg.port = std::move(port);
if (auto [host] = getEnv("HOST"); !host.empty())
cfg.host = std::move(host);
if (auto [work_thread_num] = getEnv("WORK_THREAD_NUM"); !work_thread_num.empty())
cfg.work_thread_num = std::atol(work_thread_num.c_str());
if (auto [providers] = getEnv("PROVIDERS"); !providers.empty()) {
nlohmann::json providers_list = nlohmann::json::parse(providers, nullptr, false);
if (!providers_list.is_discarded())
cfg.providers = providers_list.get<std::vector<std::string>>();
}
if (auto [api_key] = getEnv("API_KEY"); !api_key.empty())
cfg.api_key = std::move(api_key);
if (auto [interval] = getEnv("INTERVAL"); !interval.empty())
cfg.interval = std::atol(interval.c_str());
// export IP_WHITE_LIST="[\"127.0.0.1\",\"192.168.1.1\"]"
if (auto [ip_white_list_str] = getEnv("IP_WHITE_LIST"); !ip_white_list_str.empty()) {
nlohmann::json ip_white_list = nlohmann::json::parse(ip_white_list_str, nullptr, false);
if (!ip_white_list.is_discarded())
cfg.ip_white_list = ip_white_list.get<std::vector<std::string>>();
}
}
std::string createIndexHtml(const std::string& file, const Config& cfg) {
inja::Environment env;
nlohmann::json data;
data["chat_id"] = createUuidString();
data["chat_path"] = cfg.chat_path;
if (!cfg.providers.empty()) {
data["model_list"] = cfg.providers;
} else {
for (auto&& m : std::views::keys(gpt_function))
data["model_list"].emplace_back(m);
}
return env.render_file(file, data);
}
boost::asio::awaitable<void> sendHttpResponse(auto& stream, auto& request, auto status) {
boost::beast::http::response<boost::beast::http::string_body> res{status, request.version()};
res.set(boost::beast::http::field::server, BOOST_BEAST_VERSION_STRING);
res.set(boost::beast::http::field::content_type, "text/html");
res.keep_alive(request.keep_alive());
res.prepare_payload();
boost::beast::http::message_generator rsp = std::move(res);
co_await boost::beast::async_write(stream, std::move(rsp), use_nothrow_awaitable);
co_return;
}
void setContentType(auto& res, const std::string& file) {
SPDLOG_INFO("file: {}", file);
if (file.ends_with("js")) {
res.set(boost::beast::http::field::content_type, "text/javascript");
} else if (file.ends_with("css")) {
res.set(boost::beast::http::field::content_type, "text/css");
} else if (file.ends_with("png")) {
res.set(boost::beast::http::field::content_type, "image/png");
} else
SPDLOG_ERROR("invalid file type: {}", file);
}
boost::asio::awaitable<void> startSession(boost::asio::ip::tcp::socket sock, Config& cfg,
boost::asio::io_context& context) {
boost::beast::tcp_stream stream{std::move(sock)};
using namespace boost::asio::experimental::awaitable_operators;
ScopeExit auto_exit{[&stream] {
boost::beast::error_code ec;
stream.socket().shutdown(boost::asio::ip::tcp::socket::shutdown_both, ec);
}};
boost::beast::error_code ec{};
boost::asio::ip::tcp::endpoint endpoint = boost::beast::get_lowest_layer(stream).socket().remote_endpoint(ec);
if (ec) {
SPDLOG_ERROR("get remote_endpoint error: {}", ec.message());
co_return;
}
std::string remote_ip{endpoint.address().to_string()};
if (!cfg.ip_white_list.empty() && std::ranges::find(cfg.ip_white_list, remote_ip) == cfg.ip_white_list.end()) {
SPDLOG_INFO("[{}] not in ip white list.", remote_ip);
boost::beast::http::response<boost::beast::http::string_body> res{boost::beast::http::status::unauthorized,
11};
res.set(boost::beast::http::field::server, "CppFreeGpt");
res.body() = "Invalid IP address";
res.prepare_payload();
boost::beast::http::message_generator rsp = std::move(res);
co_await boost::beast::async_write(stream, std::move(rsp), use_nothrow_awaitable);
co_return;
}
auto assets_path = std::format("{}{}", cfg.chat_path, ASSETS_PATH);
SPDLOG_INFO("assets_path: [{}]", assets_path);
while (true) {
boost::beast::flat_buffer buffer;
boost::beast::http::request<boost::beast::http::string_body> request;
auto result = co_await (boost::beast::http::async_read(stream, buffer, request, use_nothrow_awaitable) ||
timeout(std::chrono::seconds(cfg.interval)));
if (result.index() == 1) {
SPDLOG_INFO("read timeout");
co_return;
}
auto [ec, bytes_transferred] = std::get<0>(result);
if (ec) {
SPDLOG_INFO("async_read: {}", ec.message());
co_return;
}
bool keep_alive = request.keep_alive();
auto http_path = request.target();
if (http_path.back() == '/')
http_path.remove_suffix(1);
if (http_path == cfg.chat_path) {
auto html = createIndexHtml(std::format("{}/html/index.html", cfg.client_root_path), cfg);
boost::beast::http::response<boost::beast::http::string_body> res{boost::beast::http::status::ok,
request.version()};
res.set(boost::beast::http::field::server, BOOST_BEAST_VERSION_STRING);
res.set(boost::beast::http::field::content_type, "text/html");
res.keep_alive(request.keep_alive());
res.body() = std::move(html);
res.prepare_payload();
boost::beast::http::message_generator rsp = std::move(res);
co_await boost::beast::async_write(stream, std::move(rsp), use_nothrow_awaitable);
} else if (request.target().starts_with(assets_path)) {
std::string req_path{request.target()};
SPDLOG_INFO("req_path: {}", req_path);
req_path.erase(req_path.find(assets_path), assets_path.length());
auto file = std::format("{}{}", cfg.client_root_path, req_path);
SPDLOG_INFO("load: {}", file);
if (file.contains("chat.js") || file.contains("site.webmanifest")) {
inja::Environment env;
nlohmann::json data;
if (file.contains("chat.js")) {
auto format_string = [](const std::string& str) {
std::regex pattern("/");
std::string replacement = "\\/";
return std::regex_replace(str, pattern, replacement);
};
data["chat_path"] = format_string(cfg.chat_path);
} else {
data["chat_path"] = cfg.chat_path;
}
auto chat_js_content = env.render_file(file, data);
boost::beast::http::response<boost::beast::http::string_body> res{boost::beast::http::status::ok,
request.version()};
res.set(boost::beast::http::field::server, BOOST_BEAST_VERSION_STRING);
setContentType(res, file);
res.keep_alive(request.keep_alive());
res.body() = std::move(chat_js_content);
res.prepare_payload();
boost::beast::http::message_generator rsp = std::move(res);
co_await boost::beast::async_write(stream, std::move(rsp), use_nothrow_awaitable);
} else {
boost::beast::error_code ec;
boost::beast::http::file_body::value_type body;
body.open(file.c_str(), boost::beast::file_mode::scan, ec);
if (ec == boost::beast::errc::no_such_file_or_directory) {
co_await sendHttpResponse(stream, request, boost::beast::http::status::not_found);
co_return;
}
auto const size = body.size();
boost::beast::http::response<boost::beast::http::file_body> res{
std::piecewise_construct, std::make_tuple(std::move(body)),
std::make_tuple(boost::beast::http::status::ok, request.version())};
res.set(boost::beast::http::field::server, BOOST_BEAST_VERSION_STRING);
setContentType(res, file);
res.content_length(size);
res.keep_alive(request.keep_alive());
boost::beast::http::message_generator rsp = std::move(res);
co_await boost::beast::async_write(stream, std::move(rsp), use_nothrow_awaitable);
}
} else if (request.target() == API_PATH) {
std::string model;
nlohmann::json request_body;
bool flag = false;
try {
request_body = nlohmann::json::parse(request.body());
model = request_body.at("model");
auto prompt = request_body.at("meta").at("content").at("parts").at(0).at("content");
auto conversation = request_body.at("meta").at("content").at("conversation");
} catch (const nlohmann::json::exception& e) {
SPDLOG_ERROR("nlohmann json: [{}], [{}]", e.what(), request.body());
flag = true;
}
if (flag) {
co_await sendHttpResponse(stream, request, boost::beast::http::status::bad_request);
co_return;
}
boost::beast::http::response<boost::beast::http::buffer_body> res;
res.result(boost::beast::http::status::ok);
res.version(request.version());
res.set(boost::beast::http::field::server, "CppFreeGpt");
res.set(boost::beast::http::field::transfer_encoding, "chunked");
res.set(boost::beast::http::field::content_type, "text/event-stream");
res.body().data = nullptr;
res.body().more = true;
boost::beast::http::response_serializer<boost::beast::http::buffer_body, boost::beast::http::fields> sr{
res};
auto [ec, count] = co_await boost::beast::http::async_write_header(stream, sr, use_nothrow_awaitable);
if (ec) {
SPDLOG_ERROR("{}", ec.message());
co_return;
}
if (!gpt_function.contains(model)) {
SPDLOG_ERROR("Invalid request model: {}", model);
static std::string reject{"Invalid request model"};
res.body().data = reject.data();
res.body().size = reject.size();
res.body().more = false;
std::tie(ec, count) = co_await boost::beast::http::async_write(stream, sr, use_nothrow_awaitable);
co_return;
}
auto ch = std::make_shared<FreeGpt::Channel>(co_await boost::asio::this_coro::executor, 4096);
boost::asio::co_spawn(
context,
[](auto ch, auto model, auto request_body) -> boost::asio::awaitable<void> {
auto& func = gpt_function[model];
co_await func(std::move(ch), std::move(request_body));
co_return;
}(ch, std::move(model), std::move(request_body)),
[](std::exception_ptr eptr) {
try {
if (eptr)
std::rethrow_exception(eptr);
} catch (const std::exception& e) {
SPDLOG_ERROR("Caught exception: {}", e.what());
}
});
while (true) {
auto [ec, str] = co_await ch->async_receive(use_nothrow_awaitable);
if (ec) {
break;
}
res.body().data = str.data();
res.body().size = str.size();
res.body().more = true;
std::tie(ec, count) = co_await boost::beast::http::async_write(stream, sr, use_nothrow_awaitable);
}
res.body().data = nullptr;
res.body().more = false;
std::tie(ec, count) = co_await boost::beast::http::async_write(stream, sr, use_nothrow_awaitable);
} else {
SPDLOG_ERROR("bad_request: [{}], Expected path is: [{}]", request.target(), cfg.chat_path);
co_await sendHttpResponse(stream, request, boost::beast::http::status::bad_request);
co_return;
}
if (!keep_alive)
co_return;
}
co_return;
}
boost::asio::awaitable<void> doSession(boost::asio::ip::tcp::acceptor& acceptor, IoContextPool& pool, Config& cfg) {
for (;;) {
auto& context = pool.getIoContext();
boost::asio::ip::tcp::socket socket(context);
auto [ec] = co_await acceptor.async_accept(socket, use_nothrow_awaitable);
if (ec) {
if (ec == boost::asio::error::operation_aborted)
break;
SPDLOG_ERROR("Accept failed, error: {}", ec.message());
continue;
}
boost::asio::co_spawn(context, startSession(std::move(socket), cfg, context), boost::asio::detached);
}
co_return;
}
int main(int argc, char** argv) {
curl_global_init(CURL_GLOBAL_ALL);
ScopeExit cleanup{[=] { curl_global_cleanup(); }};
spdlog::set_pattern("[%Y-%m-%d %H:%M:%S.%e][thread %t][%!][%s:%#][%l] %v");
auto [config, error] = yaml_cpp_struct::from_yaml<Config>(argv[1]);
if (!config) {
SPDLOG_ERROR("{}", error);
return EXIT_FAILURE;
}
auto& cfg = config.value();
setEnvironment(cfg);
auto [yaml_cfg_str, _] = yaml_cpp_struct::to_yaml(cfg);
SPDLOG_INFO("\n{}", yaml_cpp_struct::yaml_to_json(yaml_cfg_str.value()).dump(2));
std::cout << "\033[32m"
<< "GitHub: https://github.com/fantasy-peak/cpp-freegpt-webui"
<< "\033[0m" << std::endl;
FreeGpt app{cfg};
if (!cfg.api_key.empty())
ADD_METHOD("gpt-3.5-turbo-stream-openai", FreeGpt::openAi);
ADD_METHOD("gpt-4-ChatgptAi", FreeGpt::chatGptAi);
ADD_METHOD("gpt-3.5-turbo-stream-DeepAi", FreeGpt::deepAi);
ADD_METHOD("gpt-3.5-turbo-stream-H2o", FreeGpt::h2o);
ADD_METHOD("gpt-3.5-turbo-stream-yqcloud", FreeGpt::yqcloud);
ADD_METHOD("gpt-OpenAssistant-stream-HuggingChat", FreeGpt::huggingChat)
ADD_METHOD("gpt-4-turbo-stream-you", FreeGpt::you);
ADD_METHOD("gpt-3-stream-binjie", FreeGpt::binjie);
ADD_METHOD("gpt-4-stream-ChatBase", FreeGpt::chatBase);
ADD_METHOD("gpt-3.5-turbo-stream-aivvm", FreeGpt::aivvm);
ADD_METHOD("gpt-3.5-turbo-16k-stream-Ylokh", FreeGpt::ylokh);
ADD_METHOD("gpt-3.5-turbo-stream-Vitalentum", FreeGpt::vitalentum);
ADD_METHOD("gpt-3.5-turbo-stream-GptGo", FreeGpt::gptGo);
ADD_METHOD("gpt-3.5-turbo-stream-Aibn", FreeGpt::aibn);
ADD_METHOD("gpt-3.5-turbo-ChatgptDuo", FreeGpt::chatGptDuo);
ADD_METHOD("gpt-3.5-turbo-stream-FreeGpt", FreeGpt::freeGpt);
ADD_METHOD("gpt-3.5-turbo-stream-Cromicle", FreeGpt::cromicle);
ADD_METHOD("gpt-4-stream-Chatgpt4Online", FreeGpt::chatGpt4Online);
ADD_METHOD("gpt-3.5-turbo-stream-gptalk", FreeGpt::gptalk);
// ADD_METHOD("gpt-3.5-turbo-Aichat", FreeGpt::aiChat);
// ADD_METHOD("gpt-3.5-turbo-stream-ChatForAi", FreeGpt::chatForAi);
// ADD_METHOD("gpt-3.5-turbo-stream-AItianhuSpace", FreeGpt::aiTianhuSpace);
// ADD_METHOD("gpt-3.5-turbo-AItianhu", FreeGpt::aiTianhu);
// ADD_METHOD("gpt-3.5-turbo-acytoo", FreeGpt::acytoo);
IoContextPool pool{cfg.work_thread_num};
pool.start();
IoContextPool accept_pool{1};
accept_pool.start();
auto& context = accept_pool.getIoContext();
boost::asio::ip::tcp::acceptor acceptor(context);
boost::asio::ip::tcp::resolver resolver(context);
boost::asio::ip::tcp::endpoint endpoint = *resolver.resolve(cfg.host, cfg.port).begin();
acceptor.open(endpoint.protocol());
boost::system::error_code ec;
acceptor.set_option(boost::asio::ip::tcp::acceptor::reuse_address(true));
acceptor.bind(endpoint);
SPDLOG_INFO("server start accept at {}:{} ...", endpoint.address().to_string(), cfg.port);
acceptor.listen(boost::asio::socket_base::max_listen_connections, ec);
if (ec) {
SPDLOG_ERROR("{}", ec.message());
return EXIT_FAILURE;
}
boost::asio::co_spawn(context, doSession(acceptor, pool, cfg), boost::asio::detached);
boost::asio::signal_set sigset(context, SIGINT, SIGTERM);
std::binary_semaphore smph_signal_main_to_thread{0};
sigset.async_wait([&](const boost::system::error_code&, int) {
acceptor.close();
smph_signal_main_to_thread.release();
});
smph_signal_main_to_thread.acquire();
SPDLOG_INFO("stoped ...");
accept_pool.stop();
pool.stop();
return EXIT_SUCCESS;
}

22
chatgpt_microservice/xmake.lua Normal file
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set_project("cpp-freegpt-webui")
set_version("0.0.1", {build = "%Y%m%d%H%M"})
set_xmakever("2.7.8")
add_repositories("my_private_repo https://github.com/fantasy-peak/xmake-repo.git")
add_requires("openssl", {system = false})
add_requires("zlib", {system = false})
add_requires("yaml_cpp_struct", "nlohmann_json", "spdlog", "inja", "plusaes")
add_requires("boost", {configs = {iostreams = true}})
set_languages("c++23")
set_policy("check.auto_ignore_flags", false)
add_cxflags("-O2 -Wall -Wextra -pedantic-errors -Wno-missing-field-initializers -Wno-ignored-qualifiers")
add_includedirs("include")
target("cpp-freegpt-webui")
set_kind("binary")
add_files("src/*.cpp")
add_packages("openssl", "yaml_cpp_struct", "nlohmann_json", "spdlog", "boost", "inja", "plusaes", "zlib")
add_syslinks("pthread", "curl-impersonate-chrome")
target_end()