Dmitry Afanasyev a95403f594
Feat/fix start (#1)
format code
2023-09-16 20:09:40 +03:00

70 lines
2.2 KiB
Python

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