gpt4free/g4f/__init__.py
2023-09-21 20:10:59 +02:00

71 lines
2.4 KiB
Python

from __future__ import annotations
from g4f import models
from .Provider import BaseProvider, AsyncProvider
from .typing import Any, CreateResult, Union
import random
logging = False
def get_model_and_provider(model: Union[models.Model, str], provider: type[BaseProvider], stream: bool):
if isinstance(model, str):
if model in models.ModelUtils.convert:
model = models.ModelUtils.convert[model]
else:
raise Exception(f'The model: {model} does not exist')
if not provider:
provider = model.best_provider
if not provider:
raise Exception(f'No provider found for model: {model}')
if not provider.working:
raise Exception(f'{provider.__name__} is not working')
if not provider.supports_stream and stream:
raise Exception(
f'ValueError: {provider.__name__} does not support "stream" argument')
if logging:
print(f'Using {provider.__name__} provider')
return model, provider
class ChatCompletion:
@staticmethod
def create(
model : Union[models.Model, str],
messages : list[dict[str, str]],
provider : Union[type[BaseProvider], None] = None,
stream : bool = False,
auth : Union[str, None] = None,
**kwargs
) -> Union[CreateResult, str]:
model, provider = get_model_and_provider(model, provider, stream)
if provider.needs_auth and not auth:
raise Exception(
f'ValueError: {provider.__name__} requires authentication (use auth=\'cookie or token or jwt ...\' param)')
if provider.needs_auth:
kwargs['auth'] = auth
result = provider.create_completion(model.name, messages, stream, **kwargs)
return result if stream else ''.join(result)
@staticmethod
async def create_async(
model : Union[models.Model, str],
messages : list[dict[str, str]],
provider : Union[type[BaseProvider], None] = None,
**kwargs
) -> str:
model, provider = get_model_and_provider(model, provider, False)
if not issubclass(type(provider), AsyncProvider):
raise Exception(f"Provider: {provider.__name__} doesn't support create_async")
return await provider.create_async(model.name, messages, **kwargs)