sync w FIDLE

app.py

@@ -61,6 +61,7 @@ def init_leaderboard(dataframe):
     if dataframe is None or dataframe.empty:
         raise ValueError("Leaderboard DataFrame is empty or None.")
     return Leaderboard(
+        height=1000,
         value=dataframe,
         datatype=[c.type for c in fields(AutoEvalColumn)],
         select_columns=SelectColumns(
@@ -71,18 +72,18 @@ def init_leaderboard(dataframe):
         search_columns=[AutoEvalColumn.model.name, AutoEvalColumn.license.name],
         hide_columns=[c.name for c in fields(AutoEvalColumn) if c.hidden],
         filter_columns=[
-            ColumnFilter(AutoEvalColumn.model_type.name, type="checkboxgroup", label="Model types"),
+            ColumnFilter(AutoEvalColumn.model_type_symbol.name, type="checkboxgroup", label="Model types"),
             ColumnFilter(AutoEvalColumn.precision.name, type="checkboxgroup", label="Precision"),
             ColumnFilter(
                 AutoEvalColumn.params.name,
                 type="slider",
                 min=0.01,
-                max=150,
+                max=500,
                 label="Select the number of parameters (B)",
             ),
-            ColumnFilter(
-                AutoEvalColumn.still_on_hub.name, type="boolean", label="Deleted/incomplete", default=True
-            ),
+            #ColumnFilter(
+            #   AutoEvalColumn.still_on_hub.name, type="boolean", label="Deleted/incomplete", default=True
+            #),
         ],
         bool_checkboxgroup_label="Hide models",
         interactive=False,
@@ -98,8 +99,8 @@ with demo:
         with gr.TabItem("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table", id=0):
             leaderboard = init_leaderboard(LEADERBOARD_DF)
 
-        with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
-            gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
+        """with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
+            gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")"""
 
         with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=3):
             with gr.Column():
@@ -161,7 +162,7 @@ with demo:
                         choices=[i.value.name for i in Precision if i != Precision.Unknown],
                         label="Precision",
                         multiselect=False,
-                        value="float16",
+                        value="bfloat16",
                         interactive=True,
                     )
                     weight_type = gr.Dropdown(
@@ -188,7 +189,7 @@ with demo:
                 submission_result,
             )
 
-    with gr.Row():
+    """with gr.Row():
         with gr.Accordion("📙 Citation", open=False):
             citation_button = gr.Textbox(
                 value=CITATION_BUTTON_TEXT,
@@ -196,9 +197,9 @@ with demo:
                 lines=20,
                 elem_id="citation-button",
                 show_copy_button=True,
-            )
+            )"""
 
 scheduler = BackgroundScheduler()
-scheduler.add_job(restart_space, "interval", seconds=1800)
+scheduler.add_job(restart_space, "interval", seconds=86400)
 scheduler.start()
 demo.queue(default_concurrency_limit=40).launch()