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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() |
