columns 정리

app.py

@@ -62,13 +62,14 @@ leaderboard_df = original_df.copy()
 def update_table(
         hidden_df: pd.DataFrame,
         columns: list,
-        type_query: list,
-        precision_query: str,
-        size_query: list,
-        show_deleted: bool,
+        # type_query: list,
+        # precision_query: str,
+        # size_query: list,
+        # show_deleted: bool,
         query: str,
 ):
-    filtered_df = filter_models(hidden_df, type_query, size_query, precision_query, show_deleted)
+    # filtered_df = filter_models(hidden_df, type_query, size_query, precision_query, show_deleted)
+    filtered_df = filter_models(hidden_df)
     filtered_df = filter_queries(query, filtered_df)
     df = select_columns(filtered_df, columns)
     return df
@@ -161,10 +162,6 @@ with demo:
                             elem_id="column-select",
                             interactive=True,
                         )
-                    with gr.Row():
-                        deleted_models_visibility = gr.Checkbox(
-                            value=False, label="Show gated/private/deleted models", interactive=True
-                        )
                 with gr.Column(min_width=320):
                     # with gr.Box(elem_id="box-filter"):
                     filter_columns_type = gr.CheckboxGroup(
@@ -174,20 +171,6 @@ with demo:
                         interactive=True,
                         elem_id="filter-columns-type",
                     )
-                    filter_columns_precision = gr.CheckboxGroup(
-                        label="Precision",
-                        choices=[i.value.name for i in Precision],
-                        value=[i.value.name for i in Precision],
-                        interactive=True,
-                        elem_id="filter-columns-precision",
-                    )
-                    filter_columns_size = gr.CheckboxGroup(
-                        label="Model sizes (in billions of parameters)",
-                        choices=list(NUMERIC_INTERVALS.keys()),
-                        value=list(NUMERIC_INTERVALS.keys()),
-                        interactive=True,
-                        elem_id="filter-columns-size",
-                    )
 
             leaderboard_table = gr.components.Dataframe(
                 value=leaderboard_df[
@@ -214,24 +197,17 @@ with demo:
                     hidden_leaderboard_table_for_search,
                     shown_columns,
                     filter_columns_type,
-                    filter_columns_precision,
-                    filter_columns_size,
-                    deleted_models_visibility,
                     search_bar,
                 ],
                 leaderboard_table,
             )
-            for selector in [shown_columns, filter_columns_type, filter_columns_precision, filter_columns_size,
-                             deleted_models_visibility]:
+            for selector in [shown_columns, filter_columns_type]:
                 selector.change(
                     update_table,
                     [
                         hidden_leaderboard_table_for_search,
                         shown_columns,
                         filter_columns_type,
-                        filter_columns_precision,
-                        filter_columns_size,
-                        deleted_models_visibility,
                         search_bar,
                     ],
                     leaderboard_table,

src/about.py

@@ -25,7 +25,8 @@ TITLE = """<h1 align="center" id="space-title">AIM100 Leaderboard</h1>"""
 
 # What does your leaderboard evaluate?
 INTRODUCTION_TEXT = """
-Intro text
+Leaderboard of AIM100
+(AI Model 1 vs 100 Colosseum)
 """
 
 # Which evaluations are you running? how can people reproduce what you have?