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64 lines
2.2 KiB
Python
64 lines
2.2 KiB
Python
from __future__ import annotations
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import time, hashlib
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from ..typing import AsyncGenerator
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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.com"
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supports_gpt_35_turbo = True
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working = 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: list[dict[str, str]],
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timeout: int = 30,
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**kwargs
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) -> AsyncGenerator:
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async with StreamSession(impersonate="chrome107", timeout=timeout) as session:
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conversation_id = f"id_{int(time.time())}"
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prompt = messages[-1]["content"]
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timestamp = int(time.time())
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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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"sign": generate_signature(timestamp, conversation_id, prompt),
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"timestamp": timestamp
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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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yield chunk.decode()
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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def generate_signature(timestamp, id, prompt):
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data = f"{timestamp}:{id}:{prompt}:6B46K4pt"
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return hashlib.sha256(data.encode()).hexdigest()
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