Update app.py

app.py

@@ -31,7 +31,6 @@ def load_leaderboard():
     dataframes = {name: pd.read_csv(url) for name, url in results_csv_files.items()}
     bench_dataframes = {name: pd.read_csv(url) for name, url in benchmark_csv_files.items()}
     bench_dataframes = {name: df for name, df in bench_dataframes.items() if 'infer_gmacs' in df.columns}
-    print(bench_dataframes.keys())
 
     # Clean up dataframes
     remove_column_names = ["top1_err", "top5_err", "top1_diff", "top5_diff", "rank_diff", "param_count"]
@@ -207,9 +206,9 @@ def update_leaderboard_and_plot(
     fig = create_scatter_plot(combined_df, x_axis, y_axis, model_name, highlight_name, log_x, log_y)
     display_df = combined_df.drop(columns=['highlighted'])    
     display_df = display_df.style.apply(lambda x: ['background-color: #FFA500' if combined_df.loc[x.name, 'highlighted'] else '' for _ in x], axis=1).format(
-        {
-            'infer_batch_size': lambda x: col_formatter(x),  # Integer column
-        },
+        #{
+        #    'infer_batch_size': lambda x: col_formatter(x),  # Integer column
+        #},
         precision=2,
     )