Enhance dataframe styling in app.py

- Improved the dataframe display for general exposures by adding precision formatting and a background gradient for the 'dupes' subset, enhancing visual clarity.
- Ensured consistent styling across different entry selections, maintaining the overall functionality of the application.

app.py

@@ -293,11 +293,15 @@ with tab2:
                 if entry_parse_var == 'All':
                     st.session_state['general_frame'] = create_general_exposures(working_df)
                     st.dataframe(st.session_state['general_frame'].
-                        style.background_gradient(cmap='RdYlGn', axis=1),
+                        style.background_gradient(cmap='RdYlGn', axis=1).
+                        background_gradient(cmap='RdYlGn_r', subset=['dupes'], axis=1).
+                        format(precision=2),
                         hide_index=True)
                 else:
                     st.session_state['general_frame'] = create_general_exposures(working_df, entry_names)
                     st.dataframe(st.session_state['general_frame'].
-                        style.background_gradient(cmap='RdYlGn', axis=1),
+                        style.background_gradient(cmap='RdYlGn', axis=1).
+                        background_gradient(cmap='RdYlGn_r', subset=['dupes'], axis=1).
+                        format(precision=2),
                         hide_index=True)