Enhance working_frame processing in app.py: add prediction and trimming logic to session state, ensuring maximum values are tracked for key metrics, improving data handling and analysis capabilities.

app.py

@@ -883,6 +883,15 @@ with tab2:
                             sum(map_dict['own_map'].get(player, 0) for player in row.iloc[1:]),
                     axis=1
                 )
+            st.session_state['working_frame'] = predict_dupes(st.session_state['working_frame'], map_dict, site_var, type_var, Contest_Size, strength_var, sport_var)
+            if 'trimming_dict_maxes' not in st.session_state:
+                st.session_state['trimming_dict_maxes'] = {
+                    'Own': st.session_state['working_frame']['Own'].max(),
+                    'Geomean': st.session_state['working_frame']['Geomean'].max(),
+                    'Weighted Own': st.session_state['working_frame']['Weighted Own'].max(),
+                    'median': st.session_state['working_frame']['median'].max(),
+                    'Finish_percentile': st.session_state['working_frame']['Finish_percentile'].max()
+                }
 
         col1, col2 = st.columns([2, 8])
         with col1: