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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://geminiprochat.com" |
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working = True |
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supports_gpt_35_turbo = 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 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0", |
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"Accept": "*/*", |
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"Accept-Language": "de,en-US;q=0.7,en;q=0.3", |
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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://geminiprochat.com/", |
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"Origin": "https://geminiprochat.com", |
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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): |
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message = f'{time}:{text}:9C4680FB-A4E1-6BC7-052A-7F68F9F5AD1F'; |
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return sha256(message.encode()).hexdigest() |
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