mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-18 05:52:40 +03:00
63ae5bb2cd
What are your thoughts on introducing a parameter that allows us to promptly verify whether the provider supports message history? I also considered adding a parameter to indicate whether a provider can perform web searches.
140 lines
3.3 KiB
Python
140 lines
3.3 KiB
Python
from __future__ import annotations
|
|
|
|
from asyncio import AbstractEventLoop
|
|
from concurrent.futures import ThreadPoolExecutor
|
|
from abc import ABC, abstractmethod
|
|
|
|
from .helper import get_event_loop, get_cookies, format_prompt
|
|
from ..typing import CreateResult, AsyncResult, Messages
|
|
|
|
|
|
class BaseProvider(ABC):
|
|
url: str
|
|
working: bool = False
|
|
needs_auth: bool = False
|
|
supports_stream: bool = False
|
|
supports_gpt_35_turbo: bool = False
|
|
supports_gpt_4: bool = False
|
|
supports_message_history: bool = False
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
def create_completion(
|
|
model: str,
|
|
messages: Messages,
|
|
stream: bool,
|
|
**kwargs
|
|
) -> CreateResult:
|
|
raise NotImplementedError()
|
|
|
|
@classmethod
|
|
async def create_async(
|
|
cls,
|
|
model: str,
|
|
messages: Messages,
|
|
*,
|
|
loop: AbstractEventLoop = None,
|
|
executor: ThreadPoolExecutor = None,
|
|
**kwargs
|
|
) -> str:
|
|
if not loop:
|
|
loop = get_event_loop()
|
|
|
|
def create_func() -> str:
|
|
return "".join(cls.create_completion(
|
|
model,
|
|
messages,
|
|
False,
|
|
**kwargs
|
|
))
|
|
|
|
return await loop.run_in_executor(
|
|
executor,
|
|
create_func
|
|
)
|
|
|
|
@classmethod
|
|
@property
|
|
def params(cls) -> str:
|
|
params = [
|
|
("model", "str"),
|
|
("messages", "list[dict[str, str]]"),
|
|
("stream", "bool"),
|
|
]
|
|
param = ", ".join([": ".join(p) for p in params])
|
|
return f"g4f.provider.{cls.__name__} supports: ({param})"
|
|
|
|
|
|
class AsyncProvider(BaseProvider):
|
|
@classmethod
|
|
def create_completion(
|
|
cls,
|
|
model: str,
|
|
messages: Messages,
|
|
stream: bool = False,
|
|
**kwargs
|
|
) -> CreateResult:
|
|
loop = get_event_loop()
|
|
coro = cls.create_async(model, messages, **kwargs)
|
|
yield loop.run_until_complete(coro)
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
async def create_async(
|
|
model: str,
|
|
messages: Messages,
|
|
**kwargs
|
|
) -> str:
|
|
raise NotImplementedError()
|
|
|
|
|
|
class AsyncGeneratorProvider(AsyncProvider):
|
|
supports_stream = True
|
|
|
|
@classmethod
|
|
def create_completion(
|
|
cls,
|
|
model: str,
|
|
messages: Messages,
|
|
stream: bool = True,
|
|
**kwargs
|
|
) -> CreateResult:
|
|
loop = get_event_loop()
|
|
generator = cls.create_async_generator(
|
|
model,
|
|
messages,
|
|
stream=stream,
|
|
**kwargs
|
|
)
|
|
gen = generator.__aiter__()
|
|
while True:
|
|
try:
|
|
yield loop.run_until_complete(gen.__anext__())
|
|
except StopAsyncIteration:
|
|
break
|
|
|
|
@classmethod
|
|
async def create_async(
|
|
cls,
|
|
model: str,
|
|
messages: Messages,
|
|
**kwargs
|
|
) -> str:
|
|
return "".join([
|
|
chunk async for chunk in cls.create_async_generator(
|
|
model,
|
|
messages,
|
|
stream=False,
|
|
**kwargs
|
|
)
|
|
])
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
def create_async_generator(
|
|
model: str,
|
|
messages: Messages,
|
|
**kwargs
|
|
) -> AsyncResult:
|
|
raise NotImplementedError()
|