Update player and stack counts calculation in app.py for improved accuracy

- Modified player counts to use a Series from the list of contest players, ensuring accurate representation of player usage.
- Updated stack counts to reflect unique stack values, enhancing the clarity of stack data presentation.
- Adjusted the calculation of percentages for both players and stacks to maintain consistency in data analysis.

app.py

@@ -192,13 +192,13 @@ with tab2:
         with st.container():
             tab1, tab2 = st.tabs(['Player Used Info', 'Stack Used Info'])
             with tab1:
-                player_counts = contest_players.value_counts()
+                player_counts = pd.Series(list(contest_players)).value_counts()
                 player_frame = player_counts.to_frame().reset_index().rename(columns={'index': 'Player', 0: 'Count'})
                 player_frame['Percent'] = player_frame['Count'] / len(working_df)
                 player_frame = player_frame[['Player', 'Count', 'Percent']]
                 st.dataframe(player_frame)
             with tab2:
-                stack_counts = working_df['stack'].value_counts()
+                stack_counts = pd.Series(list(working_df['stack'].unique())).value_counts()
                 stack_frame = stack_counts.to_frame().reset_index().rename(columns={'index': 'Stack', 0: 'Count'})
                 stack_frame['Percent'] = stack_frame['Count'] / len(working_df)
                 stack_frame = stack_frame[['Stack', 'Count', 'Percent']]