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|
has_module = True
try:
from revChatGPT.V1 import AsyncChatbot
except ImportError:
has_module = False
from .base_provider import AsyncGeneratorProvider, get_cookies
from ..typing import AsyncGenerator
class OpenaiChat(AsyncGeneratorProvider):
url = "https://chat.openai.com"
needs_auth = True
working = has_module
supports_gpt_35_turbo = True
supports_gpt_4 = True
supports_stream = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: list[dict[str, str]],
proxy: str = None,
access_token: str = None,
cookies: dict = None,
**kwargs
) -> AsyncGenerator:
config = {"access_token": access_token, "model": model}
if proxy:
if "://" not in proxy:
proxy = f"http://{proxy}"
config["proxy"] = proxy
bot = AsyncChatbot(
config=config
)
if not access_token:
cookies = cookies if cookies else get_cookies("chat.openai.com")
response = await bot.session.get("https://chat.openai.com/api/auth/session", cookies=cookies)
access_token = response.json()["accessToken"]
bot.set_access_token(access_token)
if len(messages) > 1:
formatted = "\n".join(
["%s: %s" % ((message["role"]).capitalize(), message["content"]) for message in messages]
)
prompt = f"{formatted}\nAssistant:"
else:
prompt = messages.pop()["content"]
returned = None
async for message in bot.ask(prompt):
message = message["message"]
if returned:
if message.startswith(returned):
new = message[len(returned):]
if new:
yield new
else:
yield message
returned = message
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("proxy", "str"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
|
