Update app.py

app.py

@@ -57,8 +57,12 @@ def hybrid_recommendation(song_index):
     features_for_similarity = df[['danceability', 'energy', 'key', 'loudness', 'mode', 'speechiness',
                                   'acousticness', 'instrumentalness', 'liveness', 'valence', 'tempo',
                                   'duration_ms', 'time_signature']].values
+    scaler = StandardScaler()
+    audio_features_scaled = scaler.fit_transform(features_for_similarity)
+    # Combine mood and audio features
+    combined_features = pd.concat([emotion_category, pd.DataFrame(audio_features_scaled)], axis=1)
 
-    cosine_similarities = cosine_similarity([emotion_category], features_for_similarity).flatten()
+    cosine_similarities = cosine_similarity(combined_features)
 
     # Combine recommendations from both models
     combined_indices = np.argsort(-np.concatenate([knn_recommendations, cosine_similarities]))