Update app.py

app.py

@@ -17,7 +17,7 @@ def predict_user_profile(inputs):
 
   # Select the relevant feature columns used during model training
   feature_columns_to_use = ['statuses_count', 'followers_count', 'friends_count',
-                            'favourites_count', 'listed_count']  # Assuming language isn't used
+                            'favourites_count','listed_count']  # Assuming language isn't used
   df_features = df[feature_columns_to_use]
 
   # Load the pre-trained model