Update app.py

app.py

@@ -62,13 +62,6 @@ demo = gr.Blocks()
 with demo:
     gr.Markdown("# 🏆 WebApp1K Models Leaderboard")
     
-    model_input = gr.Dropdown(choices=models, label="Select Model")
-    scenario_input = gr.Dropdown(choices=scenarios, label="Select Category")
-    output = gr.DataFrame(headers=["pass@1", "pass@5", "pass@10"])
-    
-    filter_button = gr.Button("Filter")
-    filter_button.click(filter_data, inputs=[model_input, scenario_input], outputs=output)
-
     # Initialize leaderboard with the complete DataFrame
     complete_pass_at_k = df.groupby('Model')[['Runs', 'Successes']].apply(lambda x: pd.Series({
         'pass@1': estimate_pass_at_k(x['Runs'].values, x['Successes'].values, 1).mean(),
@@ -78,5 +71,12 @@ with demo:
 
     leaderboard = init_leaderboard(complete_pass_at_k)
 
+    model_input = gr.Dropdown(choices=models, label="Select Model")
+    scenario_input = gr.Dropdown(choices=scenarios, label="Select Category")
+    output = gr.DataFrame(headers=["pass@1", "pass@5", "pass@10"])
+    
+    filter_button = gr.Button("Filter")
+    filter_button.click(filter_data, inputs=[model_input, scenario_input], outputs=output)
+
 # Launch the Gradio interface
 demo.launch()