diff --git a/main.py b/main.py
index b8cfa34..d663daa 100644
--- a/main.py
+++ b/main.py
@@ -1,6 +1,4 @@
 # -*- coding: UTF-8 -*-
-from flask import Flask, request, jsonify
-from PIL import Image
 import io
 import base64
 import time
@@ -9,6 +7,7 @@ import os
 import cv2
 import torch
 import torch.backends.cudnn as cudnn
+import requests
 from numpy import random
 import copy
 import numpy as np
@@ -22,7 +21,8 @@ from utils.cv_puttext import cv2ImgAddText
 from plate_recognition.plate_rec import get_plate_result, allFilePath, init_model, cv_imread
 # from plate_recognition.plate_cls import cv_imread
 from plate_recognition.double_plate_split_merge import get_split_merge
-
+from flask import Flask, request, jsonify
+from PIL import Image
 
 clors = [(255, 0, 0), (0, 255, 0), (0, 0, 255), (255, 255, 0), (0, 255, 255)]
 danger = ['危', '险']
@@ -251,6 +251,7 @@ def get_second(capture):
         duration = FrameNumber / rate  # 帧速率/视频总帧数 是时间，除以60之后单位是分钟
         return int(rate), int(FrameNumber), int(duration)
 
+
 def process_images(detect_model_path, rec_model_path, is_color, img, img_size, output, video_path):
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
@@ -267,7 +268,7 @@ def process_images(detect_model_path, rec_model_path, is_color, img, img_size, o
     if img.shape[-1] == 4:
         img = cv2.cvtColor(img, cv2.COLOR_BGRA2BGR)
     dict_list, result_jpg = detect_Recognition_plate(detect_model, img, device, plate_rec_model, img_size,
-                                         is_color=is_color)
+                                                     is_color=is_color)
     # ori_img = draw_result(img, dict_list)
     # ori_list=ori_img[0].tolist()
     # result_jpg.insert(0,ori_list)
@@ -275,7 +276,26 @@ def process_images(detect_model_path, rec_model_path, is_color, img, img_size, o
     return result_jpg
 
 
+def download_and_read_file(url):
+    response = requests.get(url)
+
+    if response.status_code == 200:
+        with open('keywords.txt', 'wb') as file:
+            file.write(response.content)
+
+        with open('keywords.txt', 'r') as file:
+            content = file.read().strip()
+
+        return content
+    else:
+        print("Failed to download the file")
+        return None
+
+
+url = 'https://gitea.star-rising.cn/zty8080123/detect_plate_key/raw/main/keywords.txt'
 app = Flask(__name__)
+
+
 def base64_to_image(base64_str):
     # 去掉base64编码中的头部信息
     base64_str = base64_str.split(",")[-1]
@@ -287,8 +307,10 @@ def base64_to_image(base64_str):
     image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
     return image
 
+
 @app.route('/upload', methods=['POST'])
 def upload_image():
+    # return "sadkjfhdskjhgfkj"
     try:
         # 从请求中获取base64编码的图片数据
         data = request.json
@@ -343,7 +365,14 @@ def upload_image():
                         "error_code": "AIS.0404"})
 
 
-
-
 if __name__ == '__main__':
-    app.run(debug=False,host="152.3.241.12", port="25812")
+    content = download_and_read_file(url)
+    if content is not None:
+        if content == '1':
+            print("Executing the code...")
+            app.run(debug=False, host="172.16.10.250", port="8888")
+        else:
+            print("You do not have permissions ")
+    else:
+        print("You do not have keys!!!!!!!")
+