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from __future__ import annotations
import sys
from asyncio import AbstractEventLoop
from concurrent.futures import ThreadPoolExecutor
from abc import ABC, abstractmethod
from inspect import signature, Parameter
from .helper import get_event_loop, get_cookies, format_prompt
from ..typing import CreateResult, AsyncResult, Messages
if sys.version_info < (3, 10):
NoneType = type(None)
else:
from types import NoneType
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:
if issubclass(cls, AsyncGeneratorProvider):
sig = signature(cls.create_async_generator)
elif issubclass(cls, AsyncProvider):
sig = signature(cls.create_async)
else:
sig = signature(cls.create_completion)
def get_type_name(annotation: type) -> str:
if hasattr(annotation, "__name__"):
annotation = annotation.__name__
elif isinstance(annotation, NoneType):
annotation = "None"
return str(annotation)
args = ""
for name, param in sig.parameters.items():
if name in ("self", "kwargs"):
continue
if name == "stream" and not cls.supports_stream:
continue
if args:
args += ", "
args += "\n"
args += " " + name
if name != "model" and param.annotation is not Parameter.empty:
args += f": {get_type_name(param.annotation)}"
if param.default == "":
args += ' = ""'
elif param.default is not Parameter.empty:
args += f" = {param.default}"
return f"g4f.Provider.{cls.__name__} supports: ({args}\n)"
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()
|
