gpt4free/g4f/Provider/base_provider.py

124 lines
3.3 KiB
Python
Raw Normal View History

from __future__ import annotations
2023-07-28 10:07:17 +00:00
import asyncio
from abc import ABC, abstractmethod
2023-07-28 10:07:17 +00:00
import browser_cookie3
from ..typing import Any, AsyncGenerator, CreateResult, Union
2023-07-28 10:07:17 +00:00
class BaseProvider(ABC):
url: str
2023-08-27 15:37:44 +00:00
working = False
needs_auth = False
supports_stream = False
2023-07-28 10:07:17 +00:00
supports_gpt_35_turbo = False
2023-08-27 15:37:44 +00:00
supports_gpt_4 = False
2023-07-28 10:07:17 +00:00
@staticmethod
@abstractmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
2023-08-27 15:37:44 +00:00
stream: bool, **kwargs: Any) -> CreateResult:
2023-07-28 10:07:17 +00:00
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])
2023-09-17 21:23:54 +00:00
return f"g4f.provider.{cls.__name__} supports: ({param})"
class AsyncProvider(BaseProvider):
@classmethod
def create_completion(
cls,
model: str,
messages: list[dict[str, str]],
2023-09-18 05:15:43 +00:00
stream: bool = False,
**kwargs
) -> CreateResult:
yield asyncio.run(cls.create_async(model, messages, **kwargs))
@staticmethod
@abstractmethod
async def create_async(
model: str,
2023-08-27 15:37:44 +00:00
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:
2023-09-18 05:15:43 +00:00
loop = asyncio.new_event_loop()
try:
asyncio.set_event_loop(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
finally:
asyncio.set_event_loop(None)
loop.close()
@classmethod
async def create_async(
cls,
model: str,
messages: list[dict[str, str]],
**kwargs
) -> str:
2023-09-18 05:15:43 +00:00
return "".join([chunk async for chunk in cls.create_async_generator(model, messages, stream=False, **kwargs)])
@staticmethod
@abstractmethod
def create_async_generator(
2023-09-18 05:15:43 +00:00
model: str,
messages: list[dict[str, str]],
**kwargs
) -> AsyncGenerator:
raise NotImplementedError()
2023-09-18 05:15:43 +00:00
_cookies = {}
2023-09-18 05:15:43 +00:00
def get_cookies(cookie_domain: str) -> dict:
if cookie_domain not in _cookies:
_cookies[cookie_domain] = {}
try:
2023-09-18 05:15:43 +00:00
for cookie in browser_cookie3.load(cookie_domain):
_cookies[cookie_domain][cookie.name] = cookie.value
except:
pass
return _cookies[cookie_domain]
2023-09-18 05:15:43 +00:00
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[0]["content"]