gpt4free/g4f/__init__.py
msi-JunXiang 901595b10f type hints
Use `from __future__ import annotations avoid `dict` and `list` cause "TypeErro: 'type' object is not subscriptable".

Refer to the following Stack Overflow discussions for more information:
1.
https://stackoverflow.com/questions/75202610/typeerror-type-object-is-not-subscriptable-python
2.
https://stackoverflow.com/questions/59101121/type-hint-for-a-dict-gives-typeerror-type-object-is-not-subscriptable
2023-09-03 16:26:26 +08:00

44 lines
1.5 KiB
Python

from __future__ import annotations
from . import models
from .Provider import BaseProvider
from .typing import Any, CreateResult, Union
logging = False
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: Any) -> Union[CreateResult, str]:
if isinstance(model, str):
try:
model = models.ModelUtils.convert[model]
except KeyError:
raise Exception(f'The model: {model} does not exist')
provider = model.best_provider if provider == None else provider
if not provider.working:
raise Exception(f'{provider.__name__} is not working')
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
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')
result = provider.create_completion(model.name, messages, stream, **kwargs)
return result if stream else ''.join(result)