gpt4free/g4f/Provider/base_provider.py
Heiner Lohaus 126496d3ca Add OpenaiChat and Hugchat Provider
Add tests for providers with auth
Improve async support / 2x faster
Shared get_cookies by domain  function
2023-08-25 06:41:32 +02:00

115 lines
2.9 KiB
Python

from abc import ABC, abstractmethod
from ..typing import Any, CreateResult, AsyncGenerator, Union
import browser_cookie3
import asyncio
from time import time
import math
class BaseProvider(ABC):
url: str
working = False
needs_auth = False
supports_stream = False
supports_gpt_35_turbo = False
supports_gpt_4 = False
@staticmethod
@abstractmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool,
**kwargs: Any,
) -> CreateResult:
raise NotImplementedError()
@classmethod
@property
def params(cls):
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})"
_cookies = {}
def get_cookies(cookie_domain: str) -> dict:
if cookie_domain not in _cookies:
_cookies[cookie_domain] = {}
for cookie in browser_cookie3.load(cookie_domain):
_cookies[cookie_domain][cookie.name] = cookie.value
return _cookies[cookie_domain]
class AsyncProvider(BaseProvider):
@classmethod
def create_completion(
cls,
model: str,
messages: list[dict[str, str]],
stream: bool = False,
**kwargs: Any
) -> CreateResult:
yield asyncio.run(cls.create_async(model, messages, **kwargs))
@staticmethod
@abstractmethod
async def create_async(
model: str,
messages: list[dict[str, str]],
**kwargs: Any,
) -> str:
raise NotImplementedError()
class AsyncGeneratorProvider(AsyncProvider):
@classmethod
def create_completion(
cls,
model: str,
messages: list[dict[str, str]],
stream: bool = True,
**kwargs: Any
) -> CreateResult:
if stream:
yield from run_generator(cls.create_async_generator(model, messages, **kwargs))
else:
yield from AsyncProvider.create_completion(cls=cls, model=model, messages=messages, **kwargs)
@classmethod
async def create_async(
cls,
model: str,
messages: list[dict[str, str]],
**kwargs: Any,
) -> str:
chunks = [chunk async for chunk in cls.create_async_generator(model, messages, **kwargs)]
if chunks:
return "".join(chunks)
@staticmethod
@abstractmethod
def create_async_generator(
model: str,
messages: list[dict[str, str]],
) -> AsyncGenerator:
raise NotImplementedError()
def run_generator(generator: AsyncGenerator[Union[Any, str], Any]):
loop = asyncio.new_event_loop()
gen = generator.__aiter__()
while True:
try:
yield loop.run_until_complete(gen.__anext__())
except StopAsyncIteration:
break