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gpt4free/g4f/Provider/not_working/ChatgptDemo.py

70 lines
2.8 KiB
Python

from __future__ import annotations
import time, json, re, asyncio
from aiohttp import ClientSession
from ...typing import AsyncResult, Messages
from ...errors import RateLimitError
from ..base_provider import AsyncGeneratorProvider
from ..helper import format_prompt
class ChatgptDemo(AsyncGeneratorProvider):
url = "https://chatgptdemo.info/chat"
working = False
supports_gpt_35_turbo = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
headers = {
"authority": "chatgptdemo.info",
"accept-language": "en-US",
"origin": "https://chatgptdemo.info",
"referer": "https://chatgptdemo.info/chat/",
"sec-ch-ua": '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Linux"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36"
}
async with ClientSession(headers=headers) as session:
async with session.get(f"{cls.url}/", proxy=proxy) as response:
response.raise_for_status()
text = await response.text()
result = re.search(
r'<div id="USERID" style="display: none">(.*?)<\/div>',
text,
)
if result:
user_id = result.group(1)
else:
raise RuntimeError("No user id found")
async with session.post(f"https://chatgptdemo.info/chat/new_chat", json={"user_id": user_id}, proxy=proxy) as response:
response.raise_for_status()
chat_id = (await response.json())["id_"]
if not chat_id:
raise RuntimeError("Could not create new chat")
await asyncio.sleep(10)
data = {
"question": format_prompt(messages),
"chat_id": chat_id,
"timestamp": int((time.time())*1e3),
}
async with session.post(f"https://chatgptdemo.info/chat/chat_api_stream", json=data, proxy=proxy) as response:
if response.status == 429:
raise RateLimitError("Rate limit reached")
response.raise_for_status()
async for line in response.content:
if line.startswith(b"data: "):
line = json.loads(line[6:-1])
chunk = line["choices"][0]["delta"].get("content")
if chunk:
yield chunk