gpt4free/g4f/Provider/Airforce.py
2024-11-01 18:01:29 +02:00

60 lines
2.1 KiB
Python

from __future__ import annotations
from typing import Any, Dict
import inspect
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import format_prompt
from .airforce.AirforceChat import AirforceChat
from .airforce.AirforceImage import AirforceImage
class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://api.airforce"
api_endpoint_completions = AirforceChat.api_endpoint_completions
api_endpoint_imagine2 = AirforceImage.api_endpoint_imagine2
working = True
supports_stream = AirforceChat.supports_stream
supports_system_message = AirforceChat.supports_system_message
supports_message_history = AirforceChat.supports_message_history
default_model = AirforceChat.default_model
models = [*AirforceChat.text_models, *AirforceImage.image_models]
model_aliases = {
**AirforceChat.model_aliases,
**AirforceImage.model_aliases
}
@classmethod
def get_model(cls, model: str) -> str:
if model in cls.models:
return model
elif model in cls.model_aliases:
return cls.model_aliases[model]
else:
return cls.default_model
@classmethod
async def create_async_generator(cls, model: str, messages: Messages, **kwargs) -> AsyncResult:
model = cls.get_model(model)
provider = AirforceChat if model in AirforceChat.text_models else AirforceImage
if model not in provider.models:
raise ValueError(f"Unsupported model: {model}")
# Get the signature of the provider's create_async_generator method
sig = inspect.signature(provider.create_async_generator)
# Filter kwargs to only include parameters that the provider's method accepts
filtered_kwargs = {k: v for k, v in kwargs.items() if k in sig.parameters}
# Add model and messages to filtered_kwargs
filtered_kwargs['model'] = model
filtered_kwargs['messages'] = messages
async for result in provider.create_async_generator(**filtered_kwargs):
yield result