from __future__ import annotations
import asyncio
from abc import ABC, abstractmethod
import browser_cookie3
from ..typing import Any, AsyncGenerator, CreateResult, Union
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] = {}
try:
for cookie in browser_cookie3.load(cookie_domain):
_cookies[cookie_domain][cookie.name] = cookie.value
except:
pass
return _cookies[cookie_domain]
def format_prompt(messages: list[dict[str, str]], add_special_tokens=False):
if add_special_tokens or len(messages) > 1:
formatted = "\n".join(
["%s: %s" % ((message["role"]).capitalize(), message["content"]) for message in messages]
)
return f"{formatted}\nAssistant:"
else:
return messages.pop()["content"]
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):
supports_stream = True
@classmethod
def create_completion(
cls,
model: str,
messages: list[dict[str, str]],
stream: bool = True,
**kwargs
) -> CreateResult:
yield from run_generator(cls.create_async_generator(model, messages, stream=stream, **kwargs))
@classmethod
async def create_async(
cls,
model: str,
messages: list[dict[str, str]],
**kwargs
) -> str:
chunks = [chunk async for chunk in cls.create_async_generator(model, messages, stream=False, **kwargs)]
if chunks:
return "".join(chunks)
@staticmethod
@abstractmethod
def create_async_generator(
model: str,
messages: list[dict[str, str]],
**kwargs
) -> 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
