Update app.py

app.py

@@ -103,7 +103,7 @@ opp_dict = dict(zip(dk_roo_raw.Team, dk_roo_raw.Opp))
 
 tab1, tab2 = st.tabs(['Uploads and Info', 'Optimizer'])
 
-with tab1:
+with tab2:
     st.info("The Projections file can have any columns in any order, but must contain columns explicitly named: 'Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', and 'Own'.")
     col1, col2 = st.columns([1, 5])
 
@@ -119,7 +119,7 @@ with tab1:
         if proj_file is not None:  
                   st.dataframe(proj_dataframe.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
         
-with tab2:
+with tab1:
     col1, col2 = st.columns([1, 5])
     with col1:
         st.info(t_stamp)
@@ -213,8 +213,11 @@ with tab2:
             max_sal1 = st.number_input('Max Salary', min_value = 45000, max_value = 60000, value = 60000, step = 100, key='max_sal1')
     with col2:
         raw_baselines = raw_baselines[raw_baselines['Team'].isin(team_var1)]
-        dk_stacks_raw = dk_stacks_raw[dk_stacks_raw['Team'].isin(team_var1)]
-        fd_stacks_raw = fd_stacks_raw[fd_stacks_raw['Team'].isin(team_var1)]
+        try:
+            dk_stacks_raw = dk_stacks_raw[dk_stacks_raw['Team'].isin(team_var1)]
+            fd_stacks_raw = fd_stacks_raw[fd_stacks_raw['Team'].isin(team_var1)]
+        except:
+            pass
         dk_Max_Rank = dk_stacks_raw['Team'][0]
         fd_Max_Rank = fd_stacks_raw['Team'][0]
         dk_stacks_raw = dk_stacks_raw.sort_values(by='Median', ascending=False)