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from __future__ import annotations
from aiohttp import ClientSession
from ...typing import AsyncResult, Messages
from ..base_provider import AsyncGeneratorProvider
class TalkAi(AsyncGeneratorProvider):
url = "https://talkai.info"
supports_gpt_35_turbo = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
if not model:
model = "gpt-3.5-turbo"
headers = {
"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/118.0",
"Accept": "application/json",
"Accept-Language": "de,en-US;q=0.7,en;q=0.3",
"Accept-Encoding": "gzip, deflate, br",
"Referer": f"{cls.url}/de/chat/",
"content-type": "application/json",
"Origin": cls.url,
"Connection": "keep-alive",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"Pragma": "no-cache",
"Cache-Control": "no-cache"
}
async with ClientSession(headers=headers) as session:
history = [{
"content": message["content"],
"from": "you" if message["role"] == "user" else "chatGPT"
} for message in messages]
data = {
"type": "chat",
"message": messages[-1]["content"],
"messagesHistory": history,
"model": model,
"max_tokens": 256,
"temperature": 1,
"top_p": 1,
"presence_penalty": 0,
"frequency_penalty": 0,
**kwargs
}
async with session.post(f"{cls.url}/de/chat/send2/", json=data, proxy=proxy) as response:
response.raise_for_status()
async for chunk in response.content:
if chunk:
yield chunk.decode()
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