more numpy rewrite

app.py

@@ -555,11 +555,10 @@ with tab2:
                         player_columns = st.session_state.working_seed[:, :9]
                     
                     # Flatten the DataFrame and count unique values
-                    value_counts = player_columns.values.flatten().tolist()
+                    value_counts = player_columns.flatten().tolist()
                     value_counts = pd.Series(value_counts).value_counts()
                     
                     percentages = (value_counts / len(st.session_state.working_seed) * 100).round(2)
-                    
                     # Create a DataFrame with the results
                     summary_df = pd.DataFrame({
                         'Player': value_counts.index,