Update app.py

app.py

@@ -84,6 +84,7 @@ def calculate_selected_score(df, selected_columns):
         return selected_semantic_score
     if selected_semantic_score is None:
         return selected_quality_score
+    print(selected_semantic_score,selected_quality_score )
     selected_score =  (selected_quality_score * QUALITY_WEIGHT + selected_semantic_score * SEMANTIC_WEIGHT) / (QUALITY_WEIGHT + SEMANTIC_WEIGHT)
     return selected_score
 
@@ -140,6 +141,17 @@ def convert_scores_to_percentage(df):
         df[column] = df[column].astype(str) + '%'
     return df
 
+def choose_all_quailty():
+    return gr.update(choices=QUALITY_LIST), QUALITY_LIST
+
+def choose_all_semantic():
+    return gr.update(choices=SEMANTIC_LIST),SEMANTIC_LIST
+
+def disable_all():
+    return gr.update(choices=[]),[]
+
+def enable_all():
+    return gr.update(choices=TASK_INFO),TASK_INFO 
 
 def on_filter_model_size_method_change(selected_columns):
     updated_data = get_all_df(selected_columns)
@@ -184,14 +196,23 @@ with block:
             gr.Markdown(
                 TABLE_INTRODUCTION
             )
-
-            # selection for column part:
-            checkbox_group = gr.CheckboxGroup(
-                choices=TASK_INFO,
-                value=DEFAULT_INFO,
-                label="Evaluation Dimension",
-                interactive=True,
-            )
+            with gr.Row():
+                with gr.Column():
+                    choosen_q = gr.Button("Select ALL Quality")
+                    choosen_s = gr.Button("Select ALL Semantic")
+                    enable_b = gr.Button("Select All")
+                    disable_b = gr.Button("Deselect All")
+                    choosen_q.click(choose_all_quailty, inputs=None, outputs=[checkbox_group, data_component])
+                    choosen_s.click(choose_all_semantic, inputs=None, outputs=[checkbox_group, data_component])
+                    enable_b.click(enable_all, inputs=None, outputs=[checkbox_group, data_component])
+                    disable_b.click(disable_all, inputs=None, outputs=[checkbox_group, data_component])
+                # selection for column part:
+                checkbox_group = gr.CheckboxGroup(
+                    choices=TASK_INFO,
+                    value=DEFAULT_INFO,
+                    label="Evaluation Dimension",
+                    interactive=True,
+                )
 
             data_component = gr.components.Dataframe(
                 value=get_baseline_df,