Update app.py

app.py

@@ -86,7 +86,9 @@ def calculate_selected_score(df, selected_columns):
         return selected_quality_score
     # print(selected_semantic_score,selected_quality_score )
     selected_score =  (selected_quality_score * QUALITY_WEIGHT + selected_semantic_score * SEMANTIC_WEIGHT) / (QUALITY_WEIGHT + SEMANTIC_WEIGHT)
-    return selected_score.fillna(0.0)
+    if selected_score.isna().any().any():
+        selected_score = [0.0 for _ in range(len(selected_score))]
+    return selected_score
 
 def get_final_score(df, selected_columns):
     normalize_df = get_normalized_df(df)