Update app.py

[update] final score

app.py

@@ -85,12 +85,11 @@ def get_final_score(df, selected_columns):
         normalize_df[name] = normalize_df[name]*DIM_WEIGHT[name]
     quality_score = normalize_df[QUALITY_LIST].sum(axis=1)/sum([DIM_WEIGHT[i] for i in QUALITY_LIST])
     semantic_score = normalize_df[SEMANTIC_LIST].sum(axis=1)/sum([DIM_WEIGHT[i] for i in SEMANTIC_LIST ])
-    final_score =  quality_score+ semantic_score
+    final_score =  (quality_score * QUALITY_WEIGHT + semantic_score * SEMANTIC_WEIGHT) / (QUALITY_WEIGHT + SEMANTIC_WEIGHT)
     if 'Overall Score' in df:
         df['Overall Score'] = final_score
     else:
         df.insert(1, 'Overall Score', final_score)
-    final_score =  quality_score+ semantic_score
     if 'Semantic Score' in df:
         df['Semantic Score'] = semantic_score
     else: