Update app.py

app.py

@@ -6,14 +6,7 @@ import numpy as np
 import os
 import sqlite3
 from datetime import datetime
-
-# Establish connection to SQLite database
-conn = sqlite3.connect('attendance.db')
-c = conn.cursor()
-
-# Create a table for storing attendance if it doesn't exist
-c.execute('''CREATE TABLE IF NOT EXISTS attendance 
-             (id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT, time TEXT)''')
+import requests
 
 st.title("AIMLJan24 - Face Recognition")
 
@@ -39,10 +32,22 @@ encodeListknown = [face_recognition.face_encodings(img)[0] for img in Images]
 # camera to take photo of user in question
 file_name = st.file_uploader("Upload image")
 
-def add_attendance(name):
-    username = name
-    c.execute("INSERT INTO attendance (name, time) VALUES (?, ?)", (username, current_datetime))
-    conn.commit()
+def update_data(names):
+    url = "https://20march2024-flask.glitch.me/adduserdata1"  # Change this URL to your Glitch endpoint
+    success_count = 0
+
+    for name in names:
+        data = {'name': name}
+        response = requests.post(url, data=data)
+        if response.status_code == 200:
+            success_count += 1
+        else:
+            st.warning(f"Failed to mark attendance for {name}")
+
+    if success_count == len(names):
+        st.success("Attendance marked for all recognized faces. Have a good day!")
+    else:
+        st.warning("Attendance marked for some faces. Check warnings for details.")
 
 if file_name is not None:
     col1, col2 = st.columns(2)
@@ -84,7 +89,7 @@ if file_name is not None:
             cv2.putText(image, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
             
             # Store attendance in SQLite database
-            add_attendance(name)
+            add_attendance(recognized_names)
             
         # Display the image with recognized faces
         st.image(image, use_column_width=True, output_format="PNG")