Update app.py

app.py

@@ -130,7 +130,7 @@ def get_final_score_quality(df, selected_columns):
     else:
         df.insert(1, 'Quality Score', quality_score)
     # selected_score = normalize_df[selected_columns].sum(axis=1) / len(selected_columns)
-    selected_score = df[selected_columns].sum(axis=1)/sum([DIM_WEIGHT[i] for i in selected_columns])
+    selected_score = normalize_df[selected_columns].sum(axis=1)/sum([DIM_WEIGHT[i] for i in selected_columns])
     if 'Selected Score' in df:
         df['Selected Score'] = selected_score
     else: