sorting by average as default

app.py

@@ -174,6 +174,7 @@ with demo:
             
             initial_df = pd.read_csv("./status/leaderboard_status_041624.csv")
             initial_df["Model"] = initial_df.apply(make_clickable, axis=1)
+            initial_df = initial_df.sort_values(by='Average', ascending=False)
             
             
             def update_df(hw_selected, platform_selected, affiliation_selected, size_selected, precision_selected, type_selected):
@@ -191,7 +192,7 @@ with demo:
                                 ["pretrained","fine-tuned","chat-models","merges/moerges"])
             
             
-            gradio_df_display = gr.Dataframe(value=initial_filtered_df, headers=["Model","Average","Hardware","Model Type","Precision",
+            gradio_df_display = gr.Dataframe(value=initial_filtered_df, headers=["Model","Average 🏆","Hardware","Model Type","Precision",
                                                                                  "Size","Infrastructure","ARC","HellaSwag","MMLU",
                                                                                  "TruthfulQA","Winogrande","Affiliation"],
                                              datatype=["html","str","str","str","str","str","str","str","str","str","str","str","str"])