mirror of
https://github.com/xtekky/gpt4free.git
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63 lines
2.2 KiB
Python
63 lines
2.2 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 ChatBase(AsyncGeneratorProvider):
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url = "https://www.chatbase.co"
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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working = 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 model == "gpt-4":
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chat_id = "quran---tafseer-saadi-pdf-wbgknt7zn"
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elif model == "gpt-3.5-turbo" or not model:
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chat_id = "chatbase--1--pdf-p680fxvnm"
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else:
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raise ValueError(f"Model are not supported: {model}")
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headers = {
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"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
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"Accept" : "*/*",
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"Accept-language" : "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",
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"Origin" : cls.url,
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"Referer" : cls.url + "/",
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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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}
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async with ClientSession(
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headers=headers
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) as session:
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data = {
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"messages": messages,
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"captchaCode": "hadsa",
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"chatId": chat_id,
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"conversationId": f"kcXpqEnqUie3dnJlsRi_O-{chat_id}"
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}
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async with session.post("https://www.chatbase.co/api/fe/chat", json=data, proxy=proxy) as response:
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response.raise_for_status()
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async for stream in response.content.iter_any():
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yield stream.decode()
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})" |