from __future__ import annotations import json from aiohttp import ClientSession from ...typing import AsyncResult, Messages from ..base_provider import AsyncGeneratorProvider class ChatgptNext(AsyncGeneratorProvider): url = "https://www.chatgpt-free.cc" working = False supports_gpt_35_turbo = True supports_message_history = True supports_system_message = True @classmethod async def create_async_generator( cls, model: str, messages: Messages, proxy: str = None, max_tokens: int = None, temperature: float = 0.7, top_p: float = 1, presence_penalty: float = 0, frequency_penalty: float = 0, **kwargs ) -> AsyncResult: if not model: model = "gpt-3.5-turbo" headers = { "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:122.0) Gecko/20100101 Firefox/122.0", "Accept": "text/event-stream", "Accept-Language": "de,en-US;q=0.7,en;q=0.3", "Accept-Encoding": "gzip, deflate, br", "Content-Type": "application/json", "Referer": "https://chat.fstha.com/", "x-requested-with": "XMLHttpRequest", "Origin": "https://chat.fstha.com", "Sec-Fetch-Dest": "empty", "Sec-Fetch-Mode": "cors", "Sec-Fetch-Site": "same-origin", "Authorization": "Bearer ak-chatgpt-nice", "Connection": "keep-alive", "Alt-Used": "chat.fstha.com", } async with ClientSession(headers=headers) as session: data = { "messages": messages, "stream": True, "model": model, "temperature": temperature, "presence_penalty": presence_penalty, "frequency_penalty": frequency_penalty, "top_p": top_p, "max_tokens": max_tokens, } async with session.post(f"https://chat.fstha.com/api/openai/v1/chat/completions", json=data, proxy=proxy) as response: response.raise_for_status() async for chunk in response.content: if chunk.startswith(b"data: [DONE]"): break if chunk.startswith(b"data: "): content = json.loads(chunk[6:])["choices"][0]["delta"].get("content") if content: yield content