gpt4free/g4f/Provider/Opchatgpts.py

from __future__ import annotations

import random, string, json
from aiohttp import ClientSession

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


class Opchatgpts(AsyncGeneratorProvider):
    url                   = "https://opchatgpts.net"
    supports_gpt_35_turbo = True
    working               = True

    @classmethod
    async def create_async_generator(
        cls,
        model: str,
        messages: Messages,
        proxy: str = None,
        **kwargs
    ) -> AsyncResult:
        headers = {
            "User-Agent"         : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
            "Accept"             : "*/*",
            "Accept-Language"    : "de,en-US;q=0.7,en;q=0.3",
            "Origin"             : cls.url,
            "Alt-Used"           : "opchatgpts.net",
            "Referer"            : f"{cls.url}/chatgpt-free-use/",
            "Sec-Fetch-Dest"     : "empty",
            "Sec-Fetch-Mode"     : "cors",
            "Sec-Fetch-Site"     : "same-origin",
        }
        async with ClientSession(
            headers=headers
        ) as session:
            data = {
                "botId": "default",
                "chatId": random_string(),
                "contextId": 28,
                "customId": None,
                "messages": messages,
                "newMessage": messages[-1]["content"],
                "session": "N/A",
                "stream": True
            }
            async with session.post(f"{cls.url}/wp-json/mwai-ui/v1/chats/submit", json=data, proxy=proxy) as response:
                response.raise_for_status()
                async for line in response.content:
                    if line.startswith(b"data: "):
                        try:
                            line = json.loads(line[6:])
                            assert "type" in line
                        except:
                            raise RuntimeError(f"Broken line: {line.decode()}")
                        if line["type"] == "live":
                            yield line["data"]
                        elif line["type"] == "end":
                            break


    @classmethod
    @property
    def params(cls):
        params = [
            ("model", "str"),
            ("messages", "list[dict[str, str]]"),
            ("stream", "bool"),
            ("proxy", "str"),
        ]
        param = ", ".join([": ".join(p) for p in params])
        return f"g4f.provider.{cls.__name__} supports: ({param})"
    

def random_string(length: int = 10):
    return ''.join(random.choice(string.ascii_lowercase + string.digits) for _ in range(length))