mirror of
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56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
# cloudflare block
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from __future__ import annotations
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from aiohttp import ClientSession
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from ..typing import Messages
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from .base_provider import AsyncProvider
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from .helper import get_cookies
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class GptChatly(AsyncProvider):
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url = "https://gptchatly.com"
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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working = False
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@classmethod
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async def create_async(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None, cookies: dict = None, **kwargs) -> str:
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if not cookies:
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cookies = get_cookies('gptchatly.com')
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if model.startswith("gpt-4"):
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chat_url = f"{cls.url}/fetch-gpt4-response"
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else:
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chat_url = f"{cls.url}/fetch-response"
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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": "*/*",
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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}/",
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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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"TE": "trailers",
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}
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async with ClientSession(headers=headers) as session:
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data = {
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"past_conversations": messages
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}
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async with session.post(chat_url, json=data, proxy=proxy) as response:
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response.raise_for_status()
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return (await response.json())["chatGPTResponse"] |