Update app.py

app.py

@@ -121,13 +121,16 @@ def get_final_score(df, selected_columns):
 
 def get_final_score_quality(df, selected_columns):
     normalize_df = get_normalized_df(df)
-    quality_score = normalize_df[QUALITY_TAB].sum(axis=1) / len(QUALITY_TAB)
+    for name in normalize_df.drop('Model Name (clickable)', axis=1):
+        normalize_df[name] = normalize_df[name]*DIM_WEIGHT[name]
+    quality_score = normalize_df[QUALITY_TAB].sum(axis=1) / sum([DIM_WEIGHT[i] for i in QUALITY_TAB])
 
     if 'Quality Score' in df:
         df['Quality Score'] = quality_score
     else:
         df.insert(1, 'Quality Score', quality_score)
-    selected_score = normalize_df[selected_columns].sum(axis=1) / len(selected_columns)
+    # 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])
     if 'Selected Score' in df:
         df['Selected Score'] = selected_score
     else: