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