Delete g4f/Provider/ChatForAi.py

g4f/Provider/ChatForAi.py

@@ -1,66 +0,0 @@
-from __future__ import annotations
-
-import time
-import hashlib
-import uuid
-
-from ..typing import AsyncResult, Messages
-from ..requests import StreamSession, raise_for_status
-from ..errors import RateLimitError
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-
-class ChatForAi(AsyncGeneratorProvider, ProviderModelMixin):
-    url = "https://chatforai.store"
-    working = True
-    default_model = "gpt-3.5-turbo"
-    supports_message_history = True
-    supports_gpt_35_turbo = True
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        timeout: int = 120,
-        temperature: float = 0.7,
-        top_p: float = 1,
-        **kwargs
-    ) -> AsyncResult:
-        model = cls.get_model(model)
-        headers = {
-            "Content-Type": "text/plain;charset=UTF-8",
-            "Origin": cls.url,
-            "Referer": f"{cls.url}/?r=b",
-        }
-        async with StreamSession(impersonate="chrome", headers=headers, proxies={"https": proxy}, timeout=timeout) as session:
-            timestamp = int(time.time() * 1e3)
-            conversation_id = str(uuid.uuid4())
-            data = {
-                "conversationId": conversation_id,
-                "conversationType": "chat_continuous",
-                "botId": "chat_continuous",
-                "globalSettings":{
-                    "baseUrl": "https://api.openai.com",
-                    "model": model,
-                    "messageHistorySize": 5,
-                    "temperature": temperature,
-                    "top_p": top_p,
-                    **kwargs
-                },
-                "prompt": "",
-                "messages": messages,
-                "timestamp": timestamp,
-                "sign": generate_signature(timestamp, "", conversation_id)
-            }
-            async with session.post(f"{cls.url}/api/handle/provider-openai", json=data) as response:
-                await raise_for_status(response)
-                async for chunk in response.iter_content():
-                    if b"https://chatforai.store" in chunk:
-                        raise RuntimeError(f"Response: {chunk.decode(errors='ignore')}")
-                    yield chunk.decode(errors="ignore")
-
-    
-def generate_signature(timestamp: int, message: str, id: str):
-    buffer = f"{id}:{timestamp}:{message}:h496Jd6b"
-    return hashlib.sha256(buffer.encode()).hexdigest()