Update app.py

app.py

@@ -214,10 +214,10 @@ if picture:
                 expanded_h = min(expanded_h, frm.shape[0] - expanded_y)
         
                 # Extract the expanded face area
-                expanded_face_img = frm[expanded_y:expanded_y + expanded_h, expanded_x:expanded_x + expanded_w]
+                face_img = frm[expanded_y:expanded_y + expanded_h, expanded_x:expanded_x + expanded_w]
 
                 # Now, 'face_img' contains the largest face. You can process it further as needed.
-                if np.array(expanded_face_img).size != 0 :
+                if np.array(face_img).size != 0 :
                     target_size = (512, 512)
                     resized_face = cv2.resize(face_img, target_size)                
                     # Perform spatial pyramid feature extraction