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from __future__ import annotations |
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import time |
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import hashlib |
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from ..typing import AsyncResult, Messages |
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from ..requests import StreamSession |
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from .base_provider import AsyncGeneratorProvider |
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class ChatForAi(AsyncGeneratorProvider): |
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url = "https://chatforai.store" |
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working = True |
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supports_message_history = 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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timeout: int = 120, |
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**kwargs |
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) -> AsyncResult: |
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headers = { |
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"Content-Type": "text/plain;charset=UTF-8", |
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"Origin": cls.url, |
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"Referer": f"{cls.url}/?r=b", |
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} |
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async with StreamSession(impersonate="chrome107", headers=headers, proxies={"https": proxy}, timeout=timeout) as session: |
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prompt = messages[-1]["content"] |
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timestamp = int(time.time() * 1e3) |
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conversation_id = f"id_{timestamp-123}" |
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data = { |
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"conversationId": conversation_id, |
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"conversationType": "chat_continuous", |
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"botId": "chat_continuous", |
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"globalSettings":{ |
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"baseUrl": "https://api.openai.com", |
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"model": model if model else "gpt-3.5-turbo", |
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"messageHistorySize": 5, |
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"temperature": 0.7, |
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"top_p": 1, |
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**kwargs |
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}, |
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"botSettings": {}, |
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"prompt": prompt, |
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"messages": messages, |
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"timestamp": timestamp, |
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"sign": generate_signature(timestamp, prompt, conversation_id) |
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} |
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async with session.post(f"{cls.url}/api/handle/provider-openai", json=data) as response: |
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response.raise_for_status() |
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async for chunk in response.iter_content(): |
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if b"https://chatforai.store" in chunk: |
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raise RuntimeError(f"Response: {chunk.decode()}") |
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yield chunk.decode() |
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def generate_signature(timestamp: int, message: str, id: str): |
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buffer = f"{timestamp}:{id}:{message}:7YN8z6d6" |
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return hashlib.sha256(buffer.encode()).hexdigest() |
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