Update app.py

app.py

@@ -97,7 +97,7 @@ if uploaded_file is not None:
         return np.nan
 
     df_combined['Self_score'] = df_combined.apply(calculate_self_score, axis=1)
-
+    df_combined['Benchmark_score'] = np.random.uniform(4.4, 5.6, size=len(df_combined)).round(1)
      #Step 7 : Picking strengths and weaknesses
     # List of keywords/phrases to capture
     keywords = [