with to if

src/streamlit_app.py

@@ -157,7 +157,7 @@ selected_tab = st.segmented_control(
     key='tab_selector'
 )
 
-with selected_tab == 'Game Betting Model':
+if selected_tab == 'Game Betting Model':
     st.info(t_stamp)
     if st.button("Reset Data", key='reset1'):
               st.cache_data.clear()
@@ -190,7 +190,7 @@ with selected_tab == 'Game Betting Model':
         key='team_export',
     )
 
-with selected_tab == 'Prop Market':
+if selected_tab == 'Prop Market':
     st.info(t_stamp)
     if st.button("Reset Data", key='reset4'):
               st.cache_data.clear()
@@ -230,7 +230,7 @@ with selected_tab == 'Prop Market':
         mime='text/csv',
     )
 
-with selected_tab == 'QB Projections':
+if selected_tab == 'QB Projections':
     st.info(t_stamp)
     if st.button("Reset Data", key='reset2'):
               st.cache_data.clear()
@@ -258,7 +258,7 @@ with selected_tab == 'QB Projections':
         key='NFL_qb_stats_export',
     )
 
-with selected_tab == 'RB/WR/TE Projections':
+if selected_tab == 'RB/WR/TE Projections':
     st.info(t_stamp)
     if st.button("Reset Data", key='reset3'):
               st.cache_data.clear()
@@ -286,7 +286,7 @@ with selected_tab == 'RB/WR/TE Projections':
         key='NFL_nonqb_stats_export',
     )
 
-with selected_tab == 'Player Prop Trends':
+if selected_tab == 'Player Prop Trends':
     st.info(t_stamp)
     if st.button("Reset Data", key='reset5'):
               st.cache_data.clear()
@@ -317,7 +317,7 @@ with selected_tab == 'Player Prop Trends':
         mime='text/csv',
     )
 
-with selected_tab == 'Player Prop Simulations':
+if selected_tab == 'Player Prop Simulations':
     st.info(t_stamp)
     if st.button("Reset Data", key='reset6'):
               st.cache_data.clear()
@@ -467,7 +467,7 @@ with selected_tab == 'Player Prop Simulations':
                             plot_hold_container = st.empty()
                             st.plotly_chart(fig, use_container_width=True)
 
-with selected_tab == 'Stat Specific Simulations':
+if selected_tab == 'Stat Specific Simulations':
     st.info(t_stamp)
     st.info('The Over and Under percentages are a compositve percentage based on simulations, historical performance, and implied probabilities, and may be different than you would expect based purely on the median projection. Likewise, the Edge of a bet is not the only indicator of if you should make the bet or not as the suggestion is using a base acceptable threshold to determine how much edge you should have for each stat category.')
     if st.button("Reset Data/Load Data", key='reset7'):