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from __future__ import annotations |
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from aiohttp import ClientSession |
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from .base_provider import AsyncProvider, format_prompt |
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class Aichat(AsyncProvider): |
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url = "https://chat-gpt.org/chat" |
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working = True |
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supports_gpt_35_turbo = True |
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@staticmethod |
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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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proxy: str = None, |
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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 |
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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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