update

app.py

@@ -73,20 +73,23 @@ if st.session_state.model_submitted:
                 df = process_scores(df, st.session_state.num_run, parameters, st.session_state.privilege_label, st.session_state.protect_label, agent, st.session_state.group_name, st.session_state.occupation)
                 st.session_state.data_processed = True  # Mark as processed
 
-            st.write('Processed Data:', df)
-
-            # use the data to generate a plot
-            st.write("Plotting the data")
-
             # Add ranks for each score within each row
             df['Privilege_Rank'] = \
-            df[['Privilege_Avg_Score', 'Protect_Avg_Score', 'Neutral_Avg_Score']].rank(axis=1)[
-                'Privilege_Avg_Score']
+                df[['Privilege_Avg_Score', 'Protect_Avg_Score', 'Neutral_Avg_Score']].rank(axis=1)[
+                    'Privilege_Avg_Score']
             df['Protect_Rank'] = df[['Privilege_Avg_Score', 'Protect_Avg_Score', 'Neutral_Avg_Score']].rank(axis=1)[
                 'Protect_Avg_Score']
             df['Neutral_Rank'] = df[['Privilege_Avg_Score', 'Protect_Avg_Score', 'Neutral_Avg_Score']].rank(axis=1)[
                 'Neutral_Avg_Score']
 
+            st.write('Processed Data:', df)
+
+            # use the data to generate a plot
+            st.write("Plotting the data")
+
+
+
+
             test_results = statistical_tests(df)
             print(test_results)
             evaluation_results = result_evaluation(test_results)