Enhance app.py layout and filtering options

- Refactored the user interface to include a two-column layout for sport and game type selection, improving usability.
- Reintroduced the filtering options within an expander for better organization, allowing users to filter by player selection while maintaining a clean interface.
- Streamlined the handling of session state for player filtering, ensuring consistent behavior during calculations.

app.py

@@ -21,7 +21,11 @@ with tab1:
     if st.button('Clear data', key='reset1'):
         st.session_state.clear()
     st.session_state['calc_toggle'] = False
-    sport_select = st.selectbox("Select Sport", ['MLB', 'NBA', 'NFL'])
+    col1, col2 = st.columns(2)
+    with col1:
+        sport_select = st.selectbox("Select Sport", ['MLB', 'NBA', 'NFL'])
+    with col2:
+        type_var = st.selectbox("Select Game Type", ['Classic', 'Showdown'])
     # Add file uploaders to your app
     col1, col2 = st.columns(2)
     
@@ -98,26 +102,6 @@ with tab2:
     # Create a copy of the dataframe for calculations
     working_df = st.session_state['Contest'].copy()
 
-    with st.expander("Info and filters"):
-        if st.button('Clear data', key='reset3'):
-            st.session_state.clear()
-        with st.form(key='filter_form'):
-            type_var = st.selectbox("Select Game Type", ['Classic', 'Showdown'])
-            entry_parse_var = st.selectbox("Do you want to view a specific player(s) or a group of players?", ['All', 'Specific'])
-            entry_names = st.multiselect("Select players", options=st.session_state['entry_list'], default=[])
-            submitted = st.form_submit_button("Submit")
-            if submitted:
-                if 'player_frame' in st.session_state:
-                    del st.session_state['player_frame']
-                if 'stack_frame' in st.session_state:
-                    del st.session_state['stack_frame']
-                # Apply entry name filter if specific entries are selected
-                if entry_parse_var == 'Specific' and entry_names:
-                    working_df = working_df[working_df['BaseName'].isin(entry_names)]
-                    st.session_state['calc_toggle'] = True
-                elif entry_parse_var == 'All':
-                    st.session_state['calc_toggle'] = True
-
     if 'Contest' in st.session_state and 'projections_df' in st.session_state and st.session_state['calc_toggle']:    
         if type_var == 'Classic':
             working_df['stack'] = working_df.apply(
@@ -187,6 +171,25 @@ with tab2:
             working_df['percentile_finish'] = working_df['index'].rank(pct=True)
             working_df['finish'] = working_df['index']
             working_df = working_df.drop(['sorted', 'index'], axis=1)
+
+    with st.expander("Info and filters"):
+        if st.button('Clear data', key='reset3'):
+            st.session_state.clear()
+        with st.form(key='filter_form'):
+            entry_parse_var = st.selectbox("Do you want to view a specific player(s) or a group of players?", ['All', 'Specific'])
+            entry_names = st.multiselect("Select players", options=st.session_state['entry_list'], default=[])
+            submitted = st.form_submit_button("Submit")
+            if submitted:
+                if 'player_frame' in st.session_state:
+                    del st.session_state['player_frame']
+                if 'stack_frame' in st.session_state:
+                    del st.session_state['stack_frame']
+                # Apply entry name filter if specific entries are selected
+                if entry_parse_var == 'Specific' and entry_names:
+                    working_df = working_df[working_df['BaseName'].isin(entry_names)]
+                    st.session_state['calc_toggle'] = True
+                elif entry_parse_var == 'All':
+                    st.session_state['calc_toggle'] = True
         
         # Initialize pagination in session state if not exists
         if 'current_page' not in st.session_state: