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path: root/g4f/Provider/FreeChatgpt.py
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from __future__ import annotations

import json
from aiohttp import ClientSession

from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider


class FreeChatgpt(AsyncGeneratorProvider):
    url = "https://free.chatgpt.org.uk"
    working = True
    supports_gpt_35_turbo = True
    supports_gpt_4 = True
    supports_message_history = True

    @classmethod
    async def create_async_generator(
        cls,
        model: str,
        messages: Messages,
        proxy: str = None,
        **kwargs
    ) -> AsyncResult:
        if not model:
            model = "gpt-3.5-turbo"
        headers = {
            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0",
            "Accept": "application/json, 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://free.chatgpt.org.uk/",
            "x-requested-with": "XMLHttpRequest",
            "Origin": "https://free.chatgpt.org.uk",
            "Sec-Fetch-Dest": "empty",
            "Sec-Fetch-Mode": "cors",
            "Sec-Fetch-Site": "same-origin",
            "Connection": "keep-alive",
            "Alt-Used": "free.chatgpt.org.uk",
            "Pragma": "no-cache",
            "Cache-Control": "no-cache",
            "TE": "trailers",
        }
        async with ClientSession(headers=headers) as session:
            data = {
                "messages": messages,
                "isAzure": False,
                "azureApiVersion": "2023-08-01-preview",
                "stream": True,
                "model": model,
                "temperature": 0.5,
                "presence_penalty": 0,
                "frequency_penalty": 0,
                "top_p": 1,
                "baseUrl": "/api/openai",
                "maxIterations": 10,
                "returnIntermediateSteps": True,
                "useTools": ["web-search", "calculator", "web-browser"],
                **kwargs
            }
            async with session.post(f"{cls.url}/api/langchain/tool/agent/nodejs", json=data, proxy=proxy) as response:
                response.raise_for_status()
                async for line in response.content:
                    if line.startswith(b"data: "):
                        data = json.loads(line[6:])
                        if data["isSuccess"] and not data["isToolMessage"]:
                            yield data["message"]