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