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84 lines
3.1 KiB
Python
84 lines
3.1 KiB
Python
from __future__ import annotations
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from aiohttp import ClientSession
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import json
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from Crypto.Cipher import AES
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from Crypto.Util import Padding
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import base64
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import hashlib
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import time
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import math
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from ..typing import AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider
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from .helper import format_prompt
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class GptForLove(AsyncGeneratorProvider):
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url = "https://ai18.gptforlove.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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if not model:
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model = "gpt-3.5-turbo"
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headers = {
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"authority": "api.gptplus.one",
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"accept": "application/json, text/plain, */*",
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"accept-language": "de-DE,de;q=0.9,en-DE;q=0.8,en;q=0.7,en-US;q=0.6,nl;q=0.5,zh-CN;q=0.4,zh-TW;q=0.3,zh;q=0.2",
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"content-type": "application/json",
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"origin": cls.url,
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"referer": f"{cls.url}/",
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"sec-ch-ua": "\"Google Chrome\";v=\"117\", \"Not;A=Brand\";v=\"8\", \"Chromium\";v=\"117\"",
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": "Linux",
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"sec-fetch-dest": "empty",
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"sec-fetch-mode": "cors",
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"sec-fetch-site": "cross-site",
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"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36"
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}
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async with ClientSession(headers=headers) as session:
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prompt = format_prompt(messages)
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data = {
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"prompt": prompt,
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"options": {},
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"systemMessage": kwargs.get("system_message", "You are ChatGPT, the version is GPT3.5, a large language model trained by OpenAI. Follow the user's instructions carefully."),
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"temperature": kwargs.get("temperature", 0.8),
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"top_p": kwargs.get("top_p", 1),
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"secret": get_secret(),
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}
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async with session.post("https://api.gptplus.one/chat-process", json=data, proxy=proxy) as response:
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response.raise_for_status()
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async for line in response.content:
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try:
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line = json.loads(line)
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except:
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raise RuntimeError(f"Broken line: {line}")
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if "detail" in line:
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content = line["detail"]["choices"][0]["delta"].get("content")
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if content:
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yield content
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elif "10分钟内提问超过了5次" in line:
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raise RuntimeError("Rate limit reached")
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else:
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raise RuntimeError(f"Response: {line}")
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def get_secret() -> str:
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k = '14487141bvirvvG'
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e = math.floor(time.time())
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plaintext = str(e).encode('utf-8')
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key = hashlib.md5(k.encode('utf-8')).digest()
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cipher = AES.new(key, AES.MODE_ECB)
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ciphertext = cipher.encrypt(Padding.pad(plaintext, AES.block_size, style='pkcs7'))
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return base64.b64encode(ciphertext).decode()
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