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- from __future__ import annotations
- import time
- from hashlib import sha256
- from aiohttp import ClientSession
- from ..typing import AsyncResult, Messages
- from .base_provider import AsyncGeneratorProvider
- class GeminiProChat(AsyncGeneratorProvider):
- url = "https://gemini-chatbot-sigma.vercel.app"
- working = True
- @classmethod
- async def create_async_generator(
- cls,
- model: str,
- messages: Messages,
- proxy: str = None,
- **kwargs
- ) -> AsyncResult:
- headers = {
- "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:122.0) Gecko/20100101 Firefox/122.0",
- "Accept": "*/*",
- "Accept-Language": "en-US,en;q=0.5",
- "Accept-Encoding": "gzip, deflate, br",
- "Content-Type": "text/plain;charset=UTF-8",
- "Referer": "https://gemini-chatbot-sigma.vercel.app/",
- "Origin": "https://gemini-chatbot-sigma.vercel.app",
- "Sec-Fetch-Dest": "empty",
- "Sec-Fetch-Mode": "cors",
- "Sec-Fetch-Site": "same-origin",
- "Connection": "keep-alive",
- "TE": "trailers",
- }
- async with ClientSession(headers=headers) as session:
- timestamp = int(time.time() * 1e3)
- data = {
- "messages":[{
- "role": "model" if message["role"] == "assistant" else "user",
- "parts": [{"text": message["content"]}]
- } for message in messages],
- "time": timestamp,
- "pass": None,
- "sign": generate_signature(timestamp, messages[-1]["content"]),
- }
- async with session.post(f"{cls.url}/api/generate", json=data, proxy=proxy) as response:
- response.raise_for_status()
- async for chunk in response.content.iter_any():
- yield chunk.decode()
-
- def generate_signature(time: int, text: str, secret: str = ""):
- message = f'{time}:{text}:{secret}';
- return sha256(message.encode()).hexdigest()
-
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