Update app.py

app.py

@@ -131,32 +131,13 @@ def main():
                 end = start + items_per_page
                 df = df[start:end]
 
-                st.dataframe(
-                    df[['Model'] + score_columns + ['Likes', 'URL']],
-                    use_container_width=True,
-                    column_config={
-                        "Likes": st.column_config.NumberColumn(
-                            "Likes",
-                            help="Number of likes on Hugging Face",
-                            format="%d ❤️",
-                        ),
-                        "URL": st.column_config.LinkColumn("URL"),
-                    },
-                    hide_index=True,
-                    height=len(df) * 37,
-                )
-
-                selected_models = st.multiselect('Select models to compare', df['Model'].unique())
-                comparison_df = df[df['Model'].isin(selected_models)]
-                st.dataframe(comparison_df)
-                
                 selected_benchmarks = st.multiselect('Select benchmarks to include in the average', score_columns, default=score_columns)
 
                 if selected_benchmarks:
                     df['Filtered Average'] = df[selected_benchmarks].mean(axis=1)
                     df = df.sort_values(by='Filtered Average', ascending=False)
                     st.dataframe(
-                        df[['Model'] + ['Filtered Average'] + selected_benchmarks + ['Likes', 'URL']],
+                        df[['Model'] + selected_benchmarks + ['Filtered Average', 'Likes', 'URL']],
                         use_container_width=True,
                         column_config={
                             "Likes": st.column_config.NumberColumn(
@@ -169,7 +150,11 @@ def main():
                         hide_index=True,
                         height=len(df) * 37,
                     )
-                
+
+                selected_models = st.multiselect('Select models to compare', df['Model'].unique())
+                comparison_df = df[df['Model'].isin(selected_models)]
+                st.dataframe(comparison_df)
+
                 if st.button("Export to CSV"):
                     csv_data = df.to_csv(index=False)
                     st.download_button(