Update contest loading feedback and display data in app.py

- Adjusted success message to inform users to wait for tables to load before switching tabs, enhancing clarity.
- Reintroduced the display of contest and portfolio data after loading, improving user visibility of loaded data.
- These changes enhance user experience by providing timely feedback and ensuring relevant data is accessible.

app.py

@@ -265,9 +265,9 @@ if selected_tab == 'Data Load':
         st.session_state['Contest'] = st.session_state['Contest'].dropna(how='all')
         st.session_state['Contest'] = st.session_state['Contest'].reset_index(drop=True)
         if st.session_state['Contest'] is not None:
-            success_col, info_col, upload_col, message_col = st.columns([1, 3, 1, 2])
+            success_col, info_col, upload_col, message_col = st.columns([2, 3, 1, 2])
             with success_col:
-                st.success('Contest file loaded successfully!')
+                st.success('Contest file loaded, please wait for tables to load below before you switch tabs!')
             with info_col:
                 st.warning("If you have confirmed that the data is correct, you can send the CSV to the database to enrich Paydirt's sources and help us create actionable tools and algorithms >>")
             with upload_col:
@@ -278,13 +278,6 @@ if selected_tab == 'Data Load':
                     st.info(return_message)
                 except:
                     pass
-            st.write('Contest data:')
-            st.dataframe(st.session_state['Contest'].head(25))
-            if st.session_state['portfolio_df'] is not None:
-                st.write('Portfolio data:')
-                st.dataframe(st.session_state['portfolio_df'].head(25))
-            else:
-                pass
         
     if 'Contest_file' in st.session_state:
         st.session_state['ownership_dict'] = dict(zip(st.session_state['ownership_df']['Player'], st.session_state['ownership_df']['Own']))
@@ -466,7 +459,13 @@ if selected_tab == 'Data Load':
         st.session_state['unique_players'] = pd.unique(st.session_state['display_contest_info'][st.session_state['player_columns']].values.ravel('K'))
         st.session_state['unique_players'] = [p for p in st.session_state['unique_players'] if p != 'nan']
 
-        st.toast('Contest ready for analysis!', icon='🎉')
+        st.write('Contest data:')
+        st.dataframe(st.session_state['Contest'].head(25))
+        if st.session_state['portfolio_df'] is not None:
+            st.write('Portfolio data:')
+            st.dataframe(st.session_state['portfolio_df'].head(25))
+        else:
+            pass
 
 if selected_tab == 'Contest Analysis':
     if 'sport_select' not in st.session_state: