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Diffstat (limited to 'g4f/Provider/ChatForAi.py')
-rw-r--r-- | g4f/Provider/ChatForAi.py | 72 |
1 files changed, 72 insertions, 0 deletions
diff --git a/g4f/Provider/ChatForAi.py b/g4f/Provider/ChatForAi.py new file mode 100644 index 00000000..c93e76ee --- /dev/null +++ b/g4f/Provider/ChatForAi.py @@ -0,0 +1,72 @@ +from __future__ import annotations + +import time +import hashlib + +from ..typing import AsyncResult, Messages +from ..requests import StreamSession +from .base_provider import AsyncGeneratorProvider + + +class ChatForAi(AsyncGeneratorProvider): + url = "https://chatforai.store" + working = True + supports_gpt_35_turbo = True + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + proxy: str = None, + timeout: int = 120, + **kwargs + ) -> AsyncResult: + headers = { + "Content-Type": "text/plain;charset=UTF-8", + "Origin": cls.url, + "Referer": f"{cls.url}/?r=b", + } + async with StreamSession(impersonate="chrome107", headers=headers, proxies={"https": proxy}, timeout=timeout) as session: + prompt = messages[-1]["content"] + timestamp = int(time.time() * 1e3) + conversation_id = f"id_{timestamp-123}" + data = { + "conversationId": conversation_id, + "conversationType": "chat_continuous", + "botId": "chat_continuous", + "globalSettings":{ + "baseUrl": "https://api.openai.com", + "model": model if model else "gpt-3.5-turbo", + "messageHistorySize": 5, + "temperature": 0.7, + "top_p": 1, + **kwargs + }, + "botSettings": {}, + "prompt": prompt, + "messages": messages, + "timestamp": timestamp, + "sign": generate_signature(timestamp, prompt, conversation_id) + } + async with session.post(f"{cls.url}/api/handle/provider-openai", json=data) as response: + response.raise_for_status() + async for chunk in response.iter_content(): + if b"https://chatforai.store" in chunk: + raise RuntimeError(f"Response: {chunk.decode()}") + yield chunk.decode() + + @classmethod + @property + def params(cls): + params = [ + ("model", "str"), + ("messages", "list[dict[str, str]]"), + ("stream", "bool"), + ] + param = ", ".join([": ".join(p) for p in params]) + return f"g4f.provider.{cls.__name__} supports: ({param})" + +def generate_signature(timestamp: int, message: str, id: str): + buffer = f"{timestamp}:{id}:{message}:7YN8z6d6" + return hashlib.sha256(buffer.encode()).hexdigest()
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