gpt4free/g4f/__init__.py

44 lines
1.5 KiB
Python
Raw Normal View History

from __future__ import annotations
2023-08-27 15:37:44 +00:00
from . import models
from .Provider import BaseProvider
from .typing import Any, CreateResult, Union
2023-06-24 01:47:00 +00:00
2023-07-16 19:31:51 +00:00
logging = False
2023-06-24 01:47:00 +00:00
class ChatCompletion:
@staticmethod
2023-07-28 10:07:17 +00:00
def create(
2023-08-27 15:37:44 +00:00
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: Any) -> Union[CreateResult, str]:
2023-07-28 10:07:17 +00:00
if isinstance(model, str):
try:
model = models.ModelUtils.convert[model]
except KeyError:
2023-08-27 15:37:44 +00:00
raise Exception(f'The model: {model} does not exist')
2023-07-28 10:07:17 +00:00
provider = model.best_provider if provider == None else provider
if not provider.working:
2023-08-27 15:37:44 +00:00
raise Exception(f'{provider.__name__} is not working')
2023-07-28 10:07:17 +00:00
if provider.needs_auth and not auth:
raise Exception(
2023-08-27 15:37:44 +00:00
f'ValueError: {provider.__name__} requires authentication (use auth=\'cookie or token or jwt ...\' param)')
2023-07-28 10:07:17 +00:00
if provider.needs_auth:
2023-08-27 15:37:44 +00:00
kwargs['auth'] = auth
2023-07-28 10:07:17 +00:00
if not provider.supports_stream and stream:
raise Exception(
2023-08-27 15:37:44 +00:00
f'ValueError: {provider.__name__} does not support "stream" argument')
2023-07-28 10:07:17 +00:00
if logging:
2023-08-27 15:37:44 +00:00
print(f'Using {provider.__name__} provider')
2023-07-28 10:07:17 +00:00
result = provider.create_completion(model.name, messages, stream, **kwargs)
2023-08-27 15:37:44 +00:00
return result if stream else ''.join(result)