gpt4free/g4f/Provider/Lockchat.py

from __future__ import annotations

import json

import requests

from ..typing import Any, CreateResult
from .base_provider import BaseProvider


class Lockchat(BaseProvider):
    url: str              = "http://supertest.lockchat.app"
    supports_stream       = True
    supports_gpt_35_turbo = True
    supports_gpt_4        = True

    @staticmethod
    def create_completion(
        model: str,
        messages: list[dict[str, str]],
        stream: bool, **kwargs: Any) -> CreateResult:

        temperature = float(kwargs.get("temperature", 0.7))
        payload = {
            "temperature": temperature,
            "messages"   : messages,
            "model"      : model,
            "stream"     : True,
        }

        headers = {
            "user-agent": "ChatX/39 CFNetwork/1408.0.4 Darwin/22.5.0",
        }
        response = requests.post("http://supertest.lockchat.app/v1/chat/completions",
                                 json=payload, headers=headers, stream=True)
        
        response.raise_for_status()
        for token in response.iter_lines():
            if b"The model: `gpt-4` does not exist" in token:
                print("error, retrying...")
                Lockchat.create_completion(
                    model       = model,
                    messages    = messages,
                    stream      = stream,
                    temperature = temperature,
                    **kwargs)
            
            if b"content" in token:
                token = json.loads(token.decode("utf-8").split("data: ")[1])
                token = token["choices"][0]["delta"].get("content")
                if token:
                    yield (token)

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