Update app.py

app.py

@@ -518,9 +518,9 @@ with tab1:
                 summary_df = pd.DataFrame({
                     'Metric': ['Min', 'Average', 'Max'],
                     'Salary': [
-                        st.session_state.Sim_Winner_Display['Salary'].min(),
-                        st.session_state.Sim_Winner_Display['Salary'].mean(),
-                        st.session_state.Sim_Winner_Display['Salary'].max()
+                        st.session_state.Sim_Winner_Display['salary'].min(),
+                        st.session_state.Sim_Winner_Display['salary'].mean(),
+                        st.session_state.Sim_Winner_Display['salary'].max()
                     ],
                     'Proj': [
                         st.session_state.Sim_Winner_Display['Proj'].min(),
@@ -547,12 +547,12 @@ with tab1:
                 # Display the summary dataframe
                 st.subheader("Summary Statistics")
                 st.dataframe(summary_df.style.format({
-                    'Salary': '{:.2f}',
+                    'salary': '{:.2f}',
                     'Proj': '{:.2f}',
                     'Own': '{:.2%}',
                     'Fantasy': '{:.2f}',
                     'GPP_Proj': '{:.2f}'
-                }).background_gradient(cmap='RdYlGn', axis=0, subset=['Salary', 'Proj', 'Own', 'Fantasy', 'GPP_Proj']), use_container_width=True)
+                }).background_gradient(cmap='RdYlGn', axis=0, subset=['salary', 'Proj', 'Own', 'Fantasy', 'GPP_Proj']), use_container_width=True)
         with st.container():
             tab1, tab2, tab3, tab4, tab5, tab6, tab7, tab8, tab9 = st.tabs(['Overall Exposures', 'QB Exposures', 'RB-WR-TE Exposures', 'RB Exposures', 'WR Exposures', 'TE Exposures', 'FLEX Exposures', 'DST Exposures', 'Team Exposures'])
             with tab1: