Update app.py

app.py

@@ -18,7 +18,7 @@ import base64
 import numpy as np
 import cv2 
 import numpy as np
-from keras.models import load_model
+
 ##################
 
 
@@ -33,10 +33,7 @@ socket = SocketIO(app,async_mode="eventlet")
 
 ######################
 
-# load model and labels
-np.set_printoptions(suppress=True)
-model = load_model(r"keras_model.h5", compile=False)
-class_names = open(r"labels.txt", "r").readlines()
+
 
 def base64_to_image(base64_string):
     # Extract the base64 encoded binary data from the input string
@@ -75,37 +72,7 @@ def receive_image(image):
 def home():
   return render_template("index.html")
 
-@app.route ("/storedata" , methods =[ 'GET' ] )
-def storedata():
-  # uname    =request.form.get("uname")
-  # matching =request.form.get("matching")
-  # rtime    =request.form.get("rtime")
-  name    =request.args.get("class_name")
-  score =request.args.get("confidence_score")
-  # rtime    =request.args.get("rtime")
-  
-  con  = sqlite3.connect("facedb")    # connect  database
-  con.row_factory = sqlite3.Row   # create object of Row
-  cur = con.cursor()              # create cursor object, which will hold records 
-                                  # being fetched from database. 
-  cur.execute( "insert into userdata (username ,  matching , recordingtime) values ('%s',%s,'%s')"%(uname,matching,rtime))
-  #cur.execute("select * from students where email=='%s' and pswd=='%s'"%(useremail,userpswd))
-  con.commit()
-  con.close()
-   
-  return  redirect(url_for( 'datafetch'))
-
-@app.route ("/data" )
-def datafetch():
-  # connect to Sqlite database and fetch data
-  con  = sqlite3.connect("facedb")  # connect sms database
-  con.row_factory = sqlite3.Row  # create object of Row
-  cur = con.cursor()             # create cursor object, which will hold records 
-                        # being fetched from database. 
-  cur.execute( "select id, username, matching, recordingtime from userdata order by id desc limit 10")  # execute a SQL query to get the data
-  rows = cur.fetchall()          # all the data pulled from database is stored in rows object 
-  con.close ()
-  return render_template ('data.html', data = rows)
+