Update app.py

app.py

@@ -35,22 +35,21 @@ file_name = st.camera_input("Upload image")
 
 
 
-def add_attendance(names):
+def add_attendance(name):
     url = "https://ai-ml-project.glitch.me/adduserdata1"  # Change this URL to your Glitch endpoint
-    success_count = 0
-    print(len(names))
-    
     data = {'name': name}
-    response = requests.get(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.success("Attendance marked for some faces. Check warnings for details.")
+    try:
+        response = requests.get(url, data=data, timeout=10)
+        if response.status_code == 200:
+            st.success(f"Attendance marked for {name}")
+        else:
+            st.warning(f"Failed to mark attendance for {name}. Status code: {response.status_code}")
+    except requests.exceptions.ConnectionError:
+        st.error(f"Failed to connect to the server for {name}. Please check the server.")
+    except requests.exceptions.Timeout:
+        st.error(f"Request timed out for {name}.")
+    except Exception as e:
+        st.error(f"An unexpected error occurred for {name}: {str(e)}")
 
 if file_name is not None:
     col1, col2 = st.columns(2)
@@ -83,7 +82,8 @@ if file_name is not None:
                 
             # Append recognized name to the list
             recognized_names.append(name)
-        
+
+            
             # Draw rectangle around the face
             y1, x2, y2, x1 = faceLoc
             y1, x2, y2, x1 = (y1 * 4), (x2 * 4), (y2 * 4) ,(x1 * 4)