Move verification server to flask

-from flask import Flask, render_template, Response, request
+from flask import Flask, render_template, Response, request, jsonify
+import json
 import cv2
 import numpy as np
 import time
@@ -6,7 +7,6 @@ import datetime
 import sys
 
 faceCascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
-num = 3
 app = Flask(__name__)
 
 @app.route('/')
@@ -15,7 +15,11 @@ def index():
     return render_template('index.html')
 
         
-@app.route('/submit', methods=['POST'])
-def submit():
-    image = request.args.get('image')
-    print(type(image))
+@app.route('/verify', methods=['POST'])
+def verify():
+    image = request.form['image']
+    data = request.form['data']
+    return jsonify(test)
+    #recv = verify_face(image)
+    #return recv
+

@@ -6,8 +6,8 @@
 <style>
 #container {
 	margin: 0px auto;
-	width: 1280px;
-	height: 1280px;
+	width: 640px;
+	height: 480px;
 	border: 10px #333 solid;
 }
 #videoInput {
@@ -19,6 +19,7 @@
 </style>
 <script type='text/javascript' src="{{url_for('static', filename='js/opencv.js')}}"></script>
 <script type='text/javascript' src="{{url_for('static', filename='js/utils.js')}}"></script>
+<script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
 <script type='text/javascript'>
 function load_cascade()
 {
@@ -86,14 +87,13 @@ function processVideo() {
             cropped = src.roi(rect);
             let tempCanvas = document.createElement("canvas");
             cv.imshow(tempCanvas,cropped);
-            let b64encoded = tempCanvas.toDataURL('image/jpeg', 1.0);
-            var msg = {
-                action: "verify",
-                img: b64encoded,
-                date: Date.now()
-            };
-            let socket = new WebSocket("ws://13.124.104.70:3000");
-            socket.send(JSON.stringify(msg));
+            let b64encoded = tempCanvas.toDataURL("image/jpeg", 1.0);
+            $.ajax({
+                   type: "POST",
+                   url: "{{url_for('verify')}}",
+                   dataType: "json",
+	           data: {'image':b64encoded, 'data':'testestest'}
+                   });
         }
         cv.imshow('canvasOutput', dst);
         // schedule the next one.
@@ -111,6 +111,7 @@ setTimeout(processVideo, 0);
 <div id="container">
 <video autoplay="true" id="videoInput" width=640 height=480 style="display: none;"></video>
 <canvas id="canvasOutput" width=640 height=480></canvas>
+<div id="hidden_container" style="display: none;"><div>
 </div>
 </body>
 </html>

@@ -4,3 +4,4 @@ opencv-python==4.1.1.26
 websockets
 cryptography
 pymysql
+flask

 [client]
-user=root
-password=1234
-host=localhost
+user=admin
+password=attendance
+host=attendance-system.c4yvip5o6czh.ap-northeast-2.rds.amazonaws.com
 database=attendance
 charset=utf8