Upload 15 files

app.py

@@ -464,12 +464,16 @@ with block:
 
                 average_type_v2 = gr.Radio(AVERAGE_TYPE, label="Performance Average Type", value="All Average")
             
+            baseline_v2_value = get_baseline_v2_df(average_type_v2.value)
+            baseline_v2_header = MODEL_INFO_V2 + checkbox_group_v2.value
+            baseline_v2_datatype = ['markdown'] * 3 + ['number'] * len(checkbox_group_v2.value)
+            # pdb.set_trace()
             # 创建数据帧组件
             data_component_v2 = gr.components.Dataframe(
-                value=get_baseline_v2_df(average_type_v2.value), 
-                headers=COLUMN_V2_NAMES,
+                value=baseline_v2_value, 
+                headers=baseline_v2_header,
                 type="pandas", 
-                datatype=DATA_TITILE_V2_TYPE,
+                datatype=baseline_v2_datatype,
                 interactive=False,
                 visible=True,
                 )
@@ -568,17 +572,19 @@ with block:
 
                 average_type = gr.Radio(AVERAGE_TYPE, label="Performance Average Type", value="All Average")
 
-
+            baseline_value = get_baseline_df(average_type.value)
+            baseline_header = MODEL_INFO + checkbox_group.value
+            baseline_datatype = ['markdown'] * 4 + ['number'] * len(checkbox_group.value)
+            # pdb.set_trace()
             # 创建数据帧组件
             data_component = gr.components.Dataframe(
-                value=get_baseline_df(average_type.value), 
-                headers=COLUMN_NAMES,
+                value=baseline_value, 
+                headers=baseline_header,
                 type="pandas", 
-                datatype=DATA_TITILE_TYPE,
+                datatype=baseline_datatype,
                 interactive=False,
                 visible=True,
-                )
-            
+                )            
     
             def on_filter_model_size_method_change(selected_model_size, selected_evaluation_method, selected_columns):