Update app.py

app.py

@@ -59,9 +59,6 @@ emotion = emotion_model.predict(padded_sequence).flatten()
 # Combine emotion and audio features for recommendation
 combined_features = np.concatenate([emotion, audio_features_scaled_knn[song_index_to_recommend]])
 
-# Get KNN-based recommendations
-knn_recs = recommend_knn(song_index_to_recommend)
-
 # Display the predicted emotion and recommendations
 st.write(f"Predicted Emotion: {emotion}")
 
@@ -70,4 +67,4 @@ if not knn_recs.empty:
     for index, row in knn_recs.iterrows():
         st.write(f"Song Index: {index}, Title: {row['title']}, Artist: {row['artist']}, Score: {row['score']}")
 else:
-    st.write("No KNN Recommendations found."
+    st.write("No KNN Recommendations found.")