gpt4free/g4f/Provider/ChatAnywhere.py

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from __future__ import annotations
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider
class ChatAnywhere(AsyncGeneratorProvider):
url = "https://chatanywhere.cn"
supports_gpt_35_turbo = True
supports_message_history = True
working = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
temperature: float = 0.5,
**kwargs
) -> AsyncResult:
headers = {
"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0",
"Accept": "application/json, text/plain, */*",
"Accept-Language": "de,en-US;q=0.7,en;q=0.3",
"Accept-Encoding": "gzip, deflate, br",
"Content-Type": "application/json",
"Referer": f"{cls.url}/",
"Origin": cls.url,
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"Authorization": "",
"Connection": "keep-alive",
"TE": "trailers"
}
async with ClientSession(headers=headers) as session:
data = {
"list": messages,
"id": "s1_qYuOLXjI3rEpc7WHfQ",
"title": messages[-1]["content"],
"prompt": "",
"temperature": temperature,
"models": "61490748",
"continuous": True
}
async with session.post(f"{cls.url}/v1/chat/gpt/", json=data, proxy=proxy) as response:
response.raise_for_status()
async for chunk in response.content.iter_any():
if chunk:
yield chunk.decode()