Update filters

.gitignore

@@ -8,3 +8,5 @@ __pycache__/
 *ipynb
 .vscode/
 logs/
+env.sh
+dev/

app.py

@@ -89,6 +89,7 @@ LEADERBOARD_DF = get_leaderboard_df(
 def init_leaderboard(dataframe):
     if dataframe is None or dataframe.empty:
         raise ValueError("Leaderboard DataFrame is empty or None.")
+
     return Leaderboard(
         value=dataframe,
         datatype=[c.type for c in fields(AutoEvalColumn)],
@@ -100,13 +101,37 @@ 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.precision.name, type="checkboxgroup", label="Floating-point format"),
             ColumnFilter(
-                AutoEvalColumn.params.name,
-                type="slider",
-                min=1,
-                max=500,
-                label="Number of parameters (billions)",
+                AutoEvalColumn.model_type.name,
+                type='checkboxgroup',
+                label='Training Type',
+            ),
+            ColumnFilter(
+                AutoEvalColumn.task00.name,
+                type='slider',
+                default=[
+                    0,
+                    LEADERBOARD_DF[AutoEvalColumn.task00.name].max(),
+                ],
+                label=AutoEvalColumn.task00.name,
+            ),
+            ColumnFilter(
+                AutoEvalColumn.task01.name,
+                type='slider',
+                default=[
+                    0,
+                    LEADERBOARD_DF[AutoEvalColumn.task01.name].max(),
+                ],
+                label=AutoEvalColumn.task01.name,
+            ),
+            ColumnFilter(
+                AutoEvalColumn.task02.name,
+                type='slider',
+                default=[
+                    0,
+                    LEADERBOARD_DF[AutoEvalColumn.task02.name].max(),
+                ],
+                label=AutoEvalColumn.task02.name,
             ),
         ],
         bool_checkboxgroup_label=' ',

requirements.txt

@@ -1,9 +1,9 @@
 APScheduler
 black
 datasets
-gradio
+gradio==4.40.0
 gradio[oauth]
-gradio_leaderboard==0.0.11
+gradio_leaderboard==0.0.13
 gradio_client
 huggingface-hub>=0.25.0
 matplotlib

src/display/utils.py

@@ -64,7 +64,7 @@ for task in Tasks:
 hide = True
 display = True
 model_info_columns = [
-    ("model_type", "Type", "str", not display, hide),
+    ("model_type", "Type", "str", not display, not hide),
     ("architecture", "Architecture", "str", not display, not hide),
     ("weight_type", "Weight type", "str", not display, hide),
     ("precision", "Precision", "str", not display, not hide),