Refactor player salary mapping for site and slate-specific data selection

- Update player_salaries dictionary creation for both DraftKings and FanDuel sites
- Add conditional logic to handle salary mapping for Regular and Showdown slates
- Ensure consistent salary dictionary generation based on selected site and slate type

app.py

@@ -127,8 +127,6 @@ with tab1:
             # i.e. clear values from both square and cube
             st.cache_data.clear()
             roo_data, sd_roo_data, timestamp = init_baselines()
-            player_salaries = dict(zip(roo_data['Player'], roo_data['Salary']))
-            sd_player_salaries = dict(zip(sd_roo_data['Player'], sd_roo_data['Salary']))
             dk_lineups = init_DK_lineups('Regular')
             fd_lineups = init_FD_lineups('Regular')
             hold_display = roo_data
@@ -182,8 +180,6 @@ with tab2:
         if st.button("Load/Reset Data", key='reset2'):
             st.cache_data.clear()
             roo_data, sd_roo_data, timestamp = init_baselines()
-            player_salaries = dict(zip(roo_data['Player'], roo_data['Salary']))
-            sd_player_salaries = dict(zip(sd_roo_data['Player'], sd_roo_data['Salary']))
             hold_display = roo_data
             dk_lineups = init_DK_lineups('Regular')
             fd_lineups = init_FD_lineups('Regular')
@@ -208,7 +204,12 @@ with tab2:
 
         if site_var1 == 'Draftkings':
             raw_baselines = hold_display
-            ROO_slice = raw_baselines[raw_baselines['Site'] == 'Draftkings']
+            if slate_var1 == 'Regular':
+                ROO_slice = raw_baselines[raw_baselines['Site'] == 'Draftkings']
+                player_salaries = dict(zip(ROO_slice['Player'], ROO_slice['Salary']))
+            elif slate_var1 == 'Showdown':
+                ROO_slice = raw_baselines[raw_baselines['Site'] == 'Draftkings']
+                player_salaries = dict(zip(ROO_slice['Player'], ROO_slice['Salary']))
             # Get the minimum and maximum ownership values from dk_lineups
             min_own = np.min(dk_lineups[:,8])
             max_own = np.max(dk_lineups[:,8])
@@ -222,7 +223,12 @@ with tab2:
                     
         elif site_var1 == 'Fanduel':
             raw_baselines = hold_display
-            ROO_slice = raw_baselines[raw_baselines['Site'] == 'Fanduel']
+            if slate_var1 == 'Regular':
+                ROO_slice = raw_baselines[raw_baselines['Site'] == 'Fanduel']
+                player_salaries = dict(zip(ROO_slice['Player'], ROO_slice['Salary']))
+            elif slate_var1 == 'Showdown':
+                ROO_slice = raw_baselines[raw_baselines['Site'] == 'Fanduel']
+                player_salaries = dict(zip(ROO_slice['Player'], ROO_slice['Salary']))
             min_own = np.min(fd_lineups[:,8])
             max_own = np.max(fd_lineups[:,8])
             column_names = fd_columns