Update app.py

app.py

@@ -80,6 +80,10 @@ def calculate_selected_score(df, selected_columns):
     selected_SEMANTIC = [i for i in selected_columns if i in SEMANTIC_LIST]
     selected_quality_score = df[selected_QUALITY].sum(axis=1)/sum([DIM_WEIGHT[i] for i in selected_QUALITY])
     selected_semantic_score = df[selected_SEMANTIC].sum(axis=1)/sum([DIM_WEIGHT[i] for i in selected_SEMANTIC ])
+    if selected_quality_score is None:
+        return selected_semantic_score
+    if selected_semantic_score is None:
+        return selected_quality_score
     selected_score =  (selected_quality_score * QUALITY_WEIGHT + selected_semantic_score * SEMANTIC_WEIGHT) / (QUALITY_WEIGHT + SEMANTIC_WEIGHT)
     return selected_score