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- from __future__ import annotations
- from aiohttp import ClientSession
- import json
- from Crypto.Cipher import AES
- from Crypto.Util import Padding
- import base64
- import hashlib
- import time
- import math
- from ..typing import AsyncResult, Messages
- from .base_provider import AsyncGeneratorProvider
- from .helper import format_prompt
- class GptForLove(AsyncGeneratorProvider):
- url = "https://ai18.gptforlove.com"
- working = True
- supports_gpt_35_turbo = True
- @classmethod
- async def create_async_generator(
- cls,
- model: str,
- messages: Messages,
- proxy: str = None,
- **kwargs
- ) -> AsyncResult:
- if not model:
- model = "gpt-3.5-turbo"
- headers = {
- "authority": "api.gptplus.one",
- "accept": "application/json, text/plain, */*",
- "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",
- "content-type": "application/json",
- "origin": cls.url,
- "referer": f"{cls.url}/",
- "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": "cross-site",
- "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:
- prompt = format_prompt(messages)
- data = {
- "prompt": prompt,
- "options": {},
- "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."),
- "temperature": kwargs.get("temperature", 0.8),
- "top_p": kwargs.get("top_p", 1),
- "secret": get_secret(),
- }
- async with session.post("https://api.gptplus.one/chat-process", json=data, proxy=proxy) as response:
- response.raise_for_status()
- async for line in response.content:
- try:
- line = json.loads(line)
- except:
- raise RuntimeError(f"Broken line: {line}")
- if "detail" in line:
- content = line["detail"]["choices"][0]["delta"].get("content")
- if content:
- yield content
- elif "10分钟内提问超过了5次" in line:
- raise RuntimeError("Rate limit reached")
- else:
- raise RuntimeError(f"Response: {line}")
- def get_secret() -> str:
- k = '14487141bvirvvG'
- e = math.floor(time.time())
- plaintext = str(e).encode('utf-8')
- key = hashlib.md5(k.encode('utf-8')).digest()
-
- cipher = AES.new(key, AES.MODE_ECB)
- ciphertext = cipher.encrypt(Padding.pad(plaintext, AES.block_size, style='pkcs7'))
- return base64.b64encode(ciphertext).decode()
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