gpt4free/g4f/__init__.py
2023-09-18 15:27:36 +02:00

55 lines
1.9 KiB
Python

from __future__ import annotations
from g4f import models
from .Provider import BaseProvider
from .typing import Any, CreateResult, Union
import random
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):
if model in models.ModelUtils.convert:
model = models.ModelUtils.convert[model]
else:
raise Exception(f'The model: {model} does not exist')
if not provider:
if isinstance(model.best_provider, list):
if stream:
provider = random.choice([p for p in model.best_provider if p.supports_stream])
else:
provider = random.choice(model.best_provider)
else:
provider = model.best_provider
if not provider:
raise Exception(f'No provider found')
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)