Enhance duplication frame visualization in app.py

- Updated the background gradient styling for the duplication frame to improve visual clarity.
- Applied distinct color gradients for percentage metrics ('uniques%', 'under_5%', 'under_10%') and count metrics ('average_dupes', 'uniques', 'under_5', 'under_10'), enhancing data analysis presentation.

app.py

@@ -434,4 +434,7 @@ with tab2:
                 dupe_frame['under_5%'] = dupe_frame['under_5'] / dupe_frame['EntryCount']
                 dupe_frame['under_10%'] = dupe_frame['under_10'] / dupe_frame['EntryCount']
                 st.session_state['duplication_frame'] = dupe_frame[['BaseName', 'EntryCount', 'average_dupes', 'uniques', 'uniques%', 'under_5', 'under_5%', 'under_10', 'under_10%']].drop_duplicates(subset='BaseName', keep='first')
-                st.dataframe(st.session_state['duplication_frame'].style.background_gradient(cmap='RdYlGn_r', axis=1).format(precision=2), hide_index=True)
+                st.dataframe(st.session_state['duplication_frame'].style.
+                             background_gradient(cmap='RdYlGn', subset=['uniques%', 'under_5%', 'under_10%'], axis=0).
+                             background_gradient(cmap='RdYlGn_r', subset=['average_dupes', 'uniques', 'under_5', 'under_10'], axis=0).
+                             format(precision=2), hide_index=True)