def filter_benchmarks_table(df, hw_selected, platform_selected, size_selected, precision_selected, type_selected, affiliation_selected): filtered_df = df[ df['Training Hardware'].isin(hw_selected) & df['Infrastructure'].isin(platform_selected) & df['Size'].isin(size_selected) & df['Precision'].isin(precision_selected) & df['Model Type'].isin(type_selected) & df['Affiliation'].isin(affiliation_selected)] return filtered_df def make_clickable(val): return f'{val}'