mirror of https://github.com/xtekky/gpt4free.git
49 lines
1.7 KiB
Python
49 lines
1.7 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 GptTalkRu(AsyncGeneratorProvider):
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url = "https://gpttalk.ru"
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working = True
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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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"Accept": "application/json, text/plain, */*",
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"Accept-Language": "en-US",
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"Connection": "keep-alive",
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"Content-Type": "application/json",
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"Origin": "https://gpttalk.ru",
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"Referer": "https://gpttalk.ru/",
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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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"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36",
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"sec-ch-ua": '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"',
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": '"Linux"',
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}
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async with ClientSession(headers=headers) as session:
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data = {
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"model": model,
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"modelType": 1,
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"prompt": messages,
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"responseType": "stream",
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}
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async with session.post(f"{cls.url}/gpt2", json=data, proxy=proxy) as response:
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response.raise_for_status()
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async for chunk in response.content.iter_any():
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yield chunk.decode() |