Update app.py

app.py

@@ -30,7 +30,7 @@ def load_models():
     scaler_cb = StandardScaler()
     audio_features_scaled_cb = scaler_cb.fit_transform(audio_features)
     audio_features_df_cb = pd.DataFrame(audio_features_scaled_cb, columns=audio_feature_columns)
-    combined_features_cb = pd.concat([mood_cats, audio_features_df_cb], axis=1)
+    combined_features = pd.concat([mood_cats, audio_features_df_cb], axis=1)
 
     # Load the similarity matrix for content-based
     similarity_matrix = np.load('similarity_matrix.npy')
@@ -42,7 +42,7 @@ def load_models():
     scaler_knn = StandardScaler()
     audio_features_scaled_knn = scaler_knn.fit_transform(audio_features)
     audio_features_df_knn = pd.DataFrame(audio_features_scaled_knn, columns=audio_feature_columns)
-    combined_features_knn = pd.concat([mood_cats_df, audio_features_df_knn], axis=1)
+    combined_features = pd.concat([mood_cats_df, audio_features_df_knn], axis=1)
 
     # Load the KNN model
     knn = joblib.load('knn_model.joblib')