update app.py

app.py

@@ -56,39 +56,6 @@ LEADERBOARD_DF = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS,
     pending_eval_queue_df,
 ) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
 
-def init_leaderboard(dataframe):
-    if dataframe is None or dataframe.empty:
-        print("Leaderboard DataFrame is empty. No models have been evaluated yet.")
-        dataframe = pd.DataFrame(columns=[col.name for col in COLUMNS])
-    return Leaderboard(
-        value=dataframe,
-        datatype=[col.type for col in COLUMNS],
-        select_columns=SelectColumns(
-            default_selection=[col.name for col in COLUMNS if col.displayed_by_default],
-            cant_deselect=[col.name for col in COLUMNS if col.never_hidden],
-            label="Select Columns to Display:",
-        ),
-        search_columns=[col.name for col in COLUMNS if col.name in ["model", "license"]],
-        hide_columns=[col.name for col in COLUMNS if col.hidden],
-        filter_columns=[
-            ColumnFilter("model_type", type="checkboxgroup", label="Model types"),
-            ColumnFilter("precision", type="checkboxgroup", label="Precision"),
-            ColumnFilter(
-                "params",
-                type="slider",
-                min=0.01,
-                max=150,
-                label="Select the number of parameters (B)",
-            ),
-            ColumnFilter(
-                "still_on_hub", type="boolean", label="Deleted/incomplete", default=True
-            ),
-        ],
-        bool_checkboxgroup_label="Hide models",
-        interactive=False,
-    )
-
-
 demo = gr.Blocks(css=custom_css)
 with demo:
     gr.HTML(TITLE)
@@ -99,8 +66,34 @@ with demo:
             if LEADERBOARD_DF.empty:
                 gr.Markdown("No evaluations have been performed yet. The leaderboard is currently empty.")
             else:
-                leaderboard = init_leaderboard(LEADERBOARD_DF)
-                leaderboard.render()  # Ensure the leaderboard is rendered
+                leaderboard = Leaderboard(
+                    value=LEADERBOARD_DF,
+                    datatype=[col.type for col in COLUMNS],
+                    select_columns=SelectColumns(
+                        default_selection=[col.name for col in COLUMNS if col.displayed_by_default],
+                        cant_deselect=[col.name for col in COLUMNS if col.never_hidden],
+                        label="Select Columns to Display:",
+                    ),
+                    search_columns=[col.name for col in COLUMNS if col.name in ["model", "license"]],
+                    hide_columns=[col.name for col in COLUMNS if col.hidden],
+                    filter_columns=[
+                        ColumnFilter("model_type", type="checkboxgroup", label="Model types"),
+                        ColumnFilter("precision", type="checkboxgroup", label="Precision"),
+                        ColumnFilter(
+                            "params",
+                            type="slider",
+                            min=0.01,
+                            max=150,
+                            label="Select the number of parameters (B)",
+                        ),
+                        ColumnFilter(
+                            "still_on_hub", type="boolean", label="Deleted/incomplete", default=True
+                        ),
+                    ],
+                    bool_checkboxgroup_label="Hide models",
+                    interactive=False,
+                )
+                # No need to call leaderboard.render() since it's created within the Gradio context
 
         with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
             gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
@@ -180,4 +173,4 @@ with demo:
 scheduler = BackgroundScheduler()
 scheduler.add_job(restart_space, "interval", seconds=1800)
 scheduler.start()
-demo.queue(default_concurrency_limit=40).launch()
+demo.queue(default_concurrency_limit=40).launch()