Update app.py

app.py

@@ -31,7 +31,7 @@ mma_format = {'ML_perc': '{:.2%}', 'Min_%': '{:.2%}', 'Med_%': '{:.2%}', }
 @st.cache_resource(ttl = 600)
 def init_baselines():
     sh = gc.open_by_url("https://docs.google.com/spreadsheets/d/17OAf4OAfW92-loMNUFvIubNmgF9111dsObybo6xhtYY/edit?gid=1468336051#gid=1468336051")
-    worksheet = sh.worksheet('FLEX')
+    worksheet = sh.worksheet('Flex')
     all_values = worksheet.get_all_values()
     cell_vals = [row[0:13] for row in all_values[1:500]]
     frame_hold = pd.DataFrame(cell_vals, columns=['Player', 'Team', 'Salary', 'OwnAvg', 'PointsAvg', 'Points per $', 'blank', 'chop1', 'chop2', 'chop3', 'chop4', 'chop6', 'OPP'])
@@ -47,7 +47,7 @@ def convert_df_to_csv(df):
 
 flex_base = init_baselines()
 
-tab1, tab2 = st.tabs(['Flex View', 'Flex View'])
+tab1 = st.tabs(['Flex View'])
 
 with tab1:
     with st.container():
@@ -57,14 +57,4 @@ with tab1:
                       data=convert_df_to_csv(flex_base),
                       file_name='tennis_model_export.csv',
                       mime='text/csv',
-              )
-
-with tab2:
-    with st.container():
-              st.dataframe(flex_base.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height = 1000, use_container_width = True)
-              st.download_button(
-                      label="Export Tables",
-                      data=convert_df_to_csv(flex_base),
-                      file_name='mma_model_export.csv',
-                      mime='text/csv',
               )