Update app.py

app.py

@@ -182,3 +182,40 @@ with tab1:
                         file_name='NFL_Research_export.csv',
                         mime='text/csv',
         )
+with tab2:
+    col1, col2 = st.columns([1, 8])
+    
+    with col1:
+        if st.button("Load/Reset Data", key='reset1'):
+              st.cache_data.clear()
+              rb_search = rb_util_season()
+              wr_search = wr_te_util_season()
+              macro_data = macro_pull()
+        stat_type_var2 = st.radio("What table are you loading?", ('WR/TE Coverage Matchups', 'Nothing idk lol'))
+        split_var2 = st.radio("Are you running the the whole league or certain teams?", ('All Teams', 'Specific Teams'))
+        pos_split2 = st.radio("Are you viewing all positions or specific positions?", ('All Positions', 'Specific Positions'))      
+        if pos_split2 == 'Specific Positions':
+            pos_var2 = st.multiselect('What Positions would you like to view?', options = ['RB', 'WR', 'TE'])
+        elif pos_split2 == 'All Positions':
+            pos_var2 = pos_list 
+        if split_var2 == 'Specific Teams':
+            team_var2 = st.multiselect('Which teams would you like to include in the Table?', options = rb_search['Team-Season'].unique())
+        elif split_var2 == 'All Teams':
+            team_var2 = rb_search['Team-Season'].unique().tolist()
+        if stat_type_var2 == 'WR/TE Coverage Matchups':
+            slate_table_instance = macro_data
+            slate_table_instance = slate_table_instance.set_index('team')  
+        elif stat_type_var1 == 'Nothing idk lol':
+            slate_table_instance = 'Same bro vibes are immaculaet tho'
+    
+    with col2:
+        if stat_type_var2 == 'WR/TE Coverage Matchups':
+            st.dataframe(slate_table_instance.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn').format(precision=2), use_container_width = True)
+        elif stat_type_var2 == 'Nothing idk lol':
+            st.write(slate_table_instance)
+        st.download_button(
+                        label="Export Tables",
+                        data=convert_df_to_csv(slate_table_instance),
+                        file_name='NFL_Slate_Research_export.csv',
+                        mime='text/csv',
+        )