gpt_chat_bot/chat_gpt_microservice/g4f/__init__.py

import sys

from g4f.models import Model, ModelUtils

from . import Provider


class ChatCompletion:
    @staticmethod
    def create(
        model: Model.model or str,
        messages: list,
        provider: Provider.Provider = None,
        stream: bool = False,
        auth: str = False,
        **kwargs,
    ):
        kwargs["auth"] = auth

        if provider and provider.needs_auth and not auth:
            print(
                f'ValueError: {provider.__name__} requires authentication (use auth="cookie or token or jwt ..." param)',
                file=sys.stderr,
            )
            sys.exit(1)

        try:
            if isinstance(model, str):
                try:
                    model = ModelUtils.convert[model]
                except KeyError:
                    raise Exception(f"The model: {model} does not exist")

            engine = model.best_provider if not provider else provider

            if not engine.supports_stream and stream == True:
                print(
                    f"ValueError: {engine.__name__} does not support 'stream' argument",
                    file=sys.stderr,
                )
                sys.exit(1)

            print(f"Using {engine.__name__} provider")

            return (
                engine._create_completion(model.name, messages, stream, **kwargs)
                if stream
                else "".join(engine._create_completion(model.name, messages, stream, **kwargs))
            )
        except TypeError as e:
            print(e)
            arg: str = str(e).split("'")[1]
            print(
                f"ValueError: {engine.__name__} does not support '{arg}' argument",
                file=sys.stderr,
            )
            sys.exit(1)