gradio_leaderboard

app.py

@@ -5,6 +5,7 @@ import gradio as gr
 import pandas as pd
 from gradio.themes.utils.sizes import text_md
 from gradio_modal import Modal
+from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
 
 from content import (
     HEADER_MARKDOWN,
@@ -487,9 +488,22 @@ def gradio_app():
                             interactive=True,
                         )
                     
+                    leaderboard_dataframe = leaderboard_server.get_leaderboard(category=leaderboard_server.TASKS_CATEGORY_OVERALL)
+                    
+                    with gr.Row():
+                        Leaderboard(
+                            value=leaderboard_dataframe,
+                            select_columns=["T", "Model", "Average ⬆️", "ARC",
+                                "HellaSwag", "MMLU", "TruthfulQA",
+                                "Winogrande", "GSM8K"],
+                            search_columns=["model_name_for_query", "Type"],
+                            hide_columns=["model_name_for_query", "Model Size"],
+                            filter_columns=["T", "Precision", "Model Size"],
+                        )
+                    
                     with gr.Row():
                         leaderboard_table = gr.DataFrame(
-                            leaderboard_server.get_leaderboard(category=leaderboard_server.TASKS_CATEGORY_OVERALL),
+                            value=leaderboard_dataframe,
                             interactive=False,
                             label=None,
                             visible=True,

requirements.txt

@@ -10,4 +10,5 @@ numpy
 scikit-learn
 numba
 gradio-modal
+gradio_leaderboard
 regex