mirror of
https://github.com/Balshgit/gpt_chat_bot.git
synced 2025-09-11 22:30:41 +03:00
87 lines
2.6 KiB
Python
87 lines
2.6 KiB
Python
import base64
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import json
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import os
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import threading
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import time
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import traceback
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import execjs
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from flask import Flask, request
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from selenium import webdriver
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from selenium.webdriver.support.ui import WebDriverWait
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from werkzeug.serving import ThreadedWSGIServer
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app = Flask(__name__)
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options = webdriver.ChromeOptions()
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options.add_argument("--headless")
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options.add_argument("--no-sandbox")
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options.add_argument("--disable-extensions")
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options.add_argument("--disable-gpu")
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options.add_argument("--disable-dev-shm-usage")
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def deepai_refresh():
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while True:
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driver = webdriver.Chrome(options=options)
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try:
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driver.get("https://deepai.org")
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WebDriverWait(driver, 15)
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cookies = driver.get_cookies()
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print(cookies, flush=True)
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except Exception:
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traceback.print_exc()
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driver.quit()
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time.sleep(600)
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# curl -X POST -d '{}' -H "Content-Type: application/json" http://127.0.0.1:8860/gptforlove
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@app.route("/gptforlove", methods=["POST"])
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def get_gptforlove_secret():
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dir = os.path.dirname(__file__)
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include = dir + "/npm/node_modules/crypto-js/crypto-js"
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source = """
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CryptoJS = require({include})
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var k = '14487141bvirvvG'
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, e = Math.floor(new Date().getTime() / 1e3);
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var t = CryptoJS.enc.Utf8.parse(e)
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, o = CryptoJS.AES.encrypt(t, k, {
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mode: CryptoJS.mode.ECB,
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padding: CryptoJS.pad.Pkcs7
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});
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return o.toString()
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"""
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source = source.replace("{include}", json.dumps(include))
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dict = {"secret": execjs.compile(source).call("")}
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return json.dumps(dict)
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# curl -X POST -d '{}' -H "Content-Type: application/json" http://127.0.0.1:8860/vercel
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@app.route("/vercel", methods=["POST"])
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def get_anti_bot_token():
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request_body = json.loads(request.data)
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raw_data = json.loads(base64.b64decode(request_body["data"], validate=True))
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js_script = """const globalThis={marker:"mark"};String.prototype.fontcolor=function(){return `<font>${this}</font>`};
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return (%s)(%s)""" % (
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raw_data["c"],
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raw_data["a"],
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)
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raw_token = json.dumps(
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{"r": execjs.compile(js_script).call(""), "t": raw_data["t"]},
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separators=(",", ":"),
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)
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dict = {"data": base64.b64encode(raw_token.encode("utf-16le")).decode()}
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return json.dumps(dict)
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if __name__ == "__main__":
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thread = threading.Thread(target=deepai_refresh)
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thread.start()
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port = os.getenv("PORT", "8860")
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ip = os.getenv("IP", "0.0.0.0")
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print(f"start zeus at {ip}:{port}", flush=True)
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server = ThreadedWSGIServer(ip, port, app)
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server.serve_forever()
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