add zeus-Vercel and update html (#46)

chatgpt_microservice/tools/requirements.txt

@@ -2,3 +2,4 @@ Flask==3.0.0
 PyExecJS==1.5.1
 selenium==4.14.0
 Werkzeug==3.0.0
+requests==2.31.0

chatgpt_microservice/tools/zeus.py

@@ -1,3 +1,4 @@
+import base64
 import json
 import os
 import threading
@@ -5,7 +6,7 @@ import time
 import traceback
 
 import execjs
-from flask import Flask
+from flask import Flask, request
 from selenium import webdriver
 from selenium.webdriver.support.ui import WebDriverWait
 from werkzeug.serving import ThreadedWSGIServer
@@ -55,6 +56,26 @@ return o.toString()
     return json.dumps(dict)
 
 
+# curl -X POST -d '{}' -H "Content-Type: application/json" http://127.0.0.1:8860/vercel
+@app.route("/vercel", methods=["POST"])
+def get_anti_bot_token():
+    request_body = json.loads(request.data)
+    raw_data = json.loads(base64.b64decode(request_body["data"], validate=True))
+
+    js_script = """const globalThis={marker:"mark"};String.prototype.fontcolor=function(){return `<font>${this}</font>`};
+        return (%s)(%s)""" % (
+        raw_data["c"],
+        raw_data["a"],
+    )
+
+    raw_token = json.dumps(
+        {"r": execjs.compile(js_script).call(""), "t": raw_data["t"]},
+        separators=(",", ":"),
+    )
+    dict = {"data": base64.b64encode(raw_token.encode("utf-16le")).decode()}
+    return json.dumps(dict)
+
+
 if __name__ == "__main__":
     thread = threading.Thread(target=deepai_refresh)
     thread.start()