Update app.py

app.py

@@ -40,10 +40,10 @@ def hybrid_recommendation(song_index):
     mood_cats = df[['mood_cats']]
     mood_cats_df = pd.DataFrame(mood_cats)
     audio_features_scaled_knn = scaler_knn.fit_transform(audio_features_knn)
-
-    audio_features_df = pd.DataFrame(audio_features_scaled_knn, columns=audio_features_knn.columns)
+    audio_features_df_knn = pd.DataFrame(audio_features_scaled_knn, columns=audio_features_knn.columns.tolist())
+    #audio_features_df = pd.DataFrame(audio_features_scaled_knn, columns=audio_features_knn.columns)
     # Combine mood and audio features
-    combined_features = pd.concat([mood_cats_df, audio_features_df], axis=1)
+    combined_features = pd.concat([mood_cats_df, audio_features_df_knn], axis=1)
 
     # Predict using the KNN model
     knn_recommendations = knn_model.kneighbors(combined_features, n_neighbors=5, return_distance=False)[0]