mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-24 19:53:11 +03:00
61 lines
2.3 KiB
Python
61 lines
2.3 KiB
Python
|
from __future__ import annotations
|
||
|
|
|
||
|
|
import json
|
||
|
|
from aiohttp import ClientSession
|
||
|
|
|
||
|
|
from ..typing import AsyncResult, Messages
|
||
|
|
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
|
||
|
|
from .helper import get_random_string, format_prompt
|
||
|
|
|
||
|
|
class AiChatOnline(AsyncGeneratorProvider, ProviderModelMixin):
|
||
|
|
site_url = "https://aichatonline.org"
|
||
|
|
url = "https://aichatonlineorg.erweima.ai"
|
||
|
|
api_endpoint = "/aichatonline/api/chat/gpt"
|
||
|
|
working = True
|
||
|
|
default_model = 'gpt-4o-mini'
|
||
|
|
|
||
|
|
@classmethod
|
||
|
|
async def grab_token(
|
||
|
|
cls,
|
||
|
|
session: ClientSession,
|
||
|
|
proxy: str
|
||
|
|
):
|
||
|
|
async with session.get(f'https://aichatonlineorg.erweima.ai/api/v1/user/getUniqueId?canvas=-{get_random_string()}', proxy=proxy) as response:
|
||
|
|
response.raise_for_status()
|
||
|
|
return (await response.json())['data']
|
||
|
|
|
||
|
|
@classmethod
|
||
|
|
async def create_async_generator(
|
||
|
|
cls,
|
||
|
|
model: str,
|
||
|
|
messages: Messages,
|
||
|
|
proxy: str = None,
|
||
|
|
**kwargs
|
||
|
|
) -> AsyncResult:
|
||
|
|
headers = {
|
||
|
|
"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0",
|
||
|
|
"Accept-Language": "de,en-US;q=0.7,en;q=0.3",
|
||
|
|
"Accept-Encoding": "gzip, deflate, br",
|
||
|
|
"Referer": f"{cls.url}/chatgpt/chat/",
|
||
|
|
"Content-Type": "application/json",
|
||
|
|
"Origin": cls.url,
|
||
|
|
"Alt-Used": "aichatonline.org",
|
||
|
|
"Connection": "keep-alive",
|
||
|
|
"Sec-Fetch-Dest": "empty",
|
||
|
|
"Sec-Fetch-Mode": "cors",
|
||
|
|
"Sec-Fetch-Site": "same-origin",
|
||
|
|
"TE": "trailers"
|
||
|
|
}
|
||
|
|
async with ClientSession(headers=headers) as session:
|
||
|
|
data = {
|
||
|
|
"conversationId": get_random_string(),
|
||
|
|
"prompt": format_prompt(messages),
|
||
|
|
}
|
||
|
|
headers['UniqueId'] = await cls.grab_token(session, proxy)
|
||
|
|
async with session.post(f"{cls.url}{cls.api_endpoint}", headers=headers, json=data, proxy=proxy) as response:
|
||
|
|
response.raise_for_status()
|
||
|
|
async for chunk in response.content:
|
||
|
|
try:
|
||
|
|
yield json.loads(chunk)['data']['message']
|
||
|
|
except:
|
||
|
|
continue
|