Update app.py

reducing columns

app.py

@@ -94,7 +94,7 @@ def print_existing_models():
     requests= load_dataset("EnergyStarAI/requests_debug", split="test", token=TOKEN)
     requests_dset = requests.to_pandas()
     model_list= requests_dset[requests_dset['status'] == 'COMPLETED']
-    return model_list    
+    return model_list[['model','task']]   
 
 def get_leaderboard_models():
     path = r'leaderboard_v0_data/energy'
@@ -103,7 +103,7 @@ def get_leaderboard_models():
     for filename in filenames:
         data.append(pd.read_csv(filename))
     leaderboard_data = pd.concat(data, ignore_index=True)
-    return leaderboard_data
+    return leaderboard_data[['model','task']]
 
 
 with gr.Blocks() as demo:
@@ -136,8 +136,9 @@ with gr.Blocks() as demo:
                 outputs=submission_result,
             )
     with gr.Row():
-            with gr.Accordion("Models that are in the latest leaderboard version:", open = False):
-                gr.Dataframe(get_leaderboard_models())
-            with gr.Accordion("Models that have been benchmarked lately:", open = False):
-                gr.Dataframe(print_existing_models())
+        with gr.Column():
+                with gr.Accordion("Models that are in the latest leaderboard version:", open = False):
+                    gr.Dataframe(get_leaderboard_models())
+                with gr.Accordion("Models that have been benchmarked lately:", open = False):
+                    gr.Dataframe(print_existing_models())
 demo.launch()