Update app.py

app.py

@@ -61,6 +61,10 @@ def hybrid_recommendation(song_index, top_n=10):
     content_based_recs = recommend_cont(song_index, top_n)
     knn_based_recs = recommend_knn(song_index, top_n)
     combined_recs = pd.concat([content_based_recs, knn_based_recs])
+    
+    # Convert 'score' column to numeric
+    combined_recs['score'] = pd.to_numeric(combined_recs['score'], errors='coerce')
+    
     hybrid_recs = combined_recs.groupby(combined_recs.index).mean().sort_values(by='score', ascending=False).head(top_n)
     return hybrid_recs