2023-09-03 11:26:26 +03:00
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from __future__ import annotations
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2023-10-06 19:21:56 +03:00
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from aiohttp import ClientSession, ClientTimeout
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2023-07-28 13:07:17 +03:00
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2023-09-05 18:27:24 +03:00
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from .base_provider import AsyncProvider, format_prompt
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2023-07-28 13:07:17 +03:00
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2023-09-05 18:27:24 +03:00
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class Aichat(AsyncProvider):
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2023-08-27 18:37:44 +03:00
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url = "https://chat-gpt.org/chat"
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working = True
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2023-07-28 13:07:17 +03:00
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supports_gpt_35_turbo = True
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@staticmethod
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2023-09-05 18:27:24 +03:00
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async def create_async(
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model: str,
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messages: list[dict[str, str]],
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2023-09-05 18:27:24 +03:00
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proxy: str = None,
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2023-10-05 06:13:37 +03:00
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timeout: int = 30,
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2023-09-05 18:27:24 +03:00
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**kwargs
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) -> str:
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headers = {
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"authority": "chat-gpt.org",
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"accept": "*/*",
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"cache-control": "no-cache",
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"content-type": "application/json",
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"origin": "https://chat-gpt.org",
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"pragma": "no-cache",
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"referer": "https://chat-gpt.org/chat",
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": '"macOS"',
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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 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36",
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}
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async with ClientSession(
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headers=headers, timeout=ClientTimeout(timeout)
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) as session:
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json_data = {
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"message": format_prompt(messages),
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"temperature": kwargs.get('temperature', 0.5),
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"presence_penalty": 0,
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"top_p": kwargs.get('top_p', 1),
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"frequency_penalty": 0,
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}
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async with session.post(
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"https://chat-gpt.org/api/text",
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proxy=proxy,
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json=json_data
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) as response:
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response.raise_for_status()
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result = await response.json()
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if not result['response']:
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raise Exception(f"Error Response: {result}")
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return result["message"]
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