Update app.py

app.py

@@ -85,18 +85,20 @@ def calculate_column_widths(df):
     return column_widths
 
 
-def show_results_tab(df, model_info, results):
+def filter_df(df, model_name):
+    default_val = 'Input the Model Name (fuzzy)'
+    if model_name != default_val:
+        method_names = [x.split('</a>')[0].split('>')[-1].lower() for x in df['Model Name']]
+        flag = [model_name.lower() in name for name in method_names]
+        df['TEMP'] = flag
+        df = df[df['TEMP'] == True] 
+        df.pop('TEMP')
+return df
+
+
+
+def show_results_tab(df):
     
-    # def filter_df(model_name):
-    #     df = make_results_tab(model_info, results)
-    #     default_val = 'Input the Model Name (fuzzy)'
-    #     if model_name != default_val:
-    #         method_names = [x.split('</a>')[0].split('>')[-1].lower() for x in df['Model Name']]
-    #         flag = [model_name.lower() in name for name in method_names]
-    #         df['TEMP'] = flag
-    #         df = df[df['TEMP'] == True] 
-    #         df.pop('TEMP')
-    # return df
 
     with gr.Row():
         model_name = gr.Textbox(
@@ -106,7 +108,6 @@ def show_results_tab(df, model_info, results):
         )
 
 
-    
     table = gr.DataFrame(
             value=df,
             interactive=False,
@@ -114,11 +115,11 @@ def show_results_tab(df, model_info, results):
             column_widths=calculate_column_widths(df),
     )
 
-    # search_box.submit(
-    #     fn=filter_df,
-    #     inputs=search_box,
-    #     outputs=table
-    # )
+    search_box.submit(
+        fn=filter_df,
+        inputs=[df, search_box]
+        outputs=table
+    )
 
 
 
@@ -131,7 +132,7 @@ def create_interface():
         with gr.Tabs(elem_classes='tab-buttons') as tabs:
             with gr.TabItem('Results', elem_id='main', id=0):
                 df = make_results_tab(model_info, results)
-                show_results_tab(df, model_info, results)
+                show_results_tab(df)
 
             with gr.TabItem('Predictions', elem_id='notmain', id=1):
                 # dataset_tab(results, structs[i], dataset)