Update app.py

app.py

@@ -65,7 +65,9 @@ def hybrid_recommendation(song_index, top_n=10):
     # 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)
+    # Use maximum value for each group instead of mean
+    hybrid_recs = combined_recs.groupby(combined_recs.index)['score'].max().sort_values(ascending=False).head(top_n)
+    
     return hybrid_recs
 
 # Streamlit app