still trying to make the leaderboard

app.py

@@ -123,11 +123,23 @@ def get_leaderboard(problem_type: str):
 
 def gradio_interface() -> gr.Blocks:
     with gr.Blocks() as demo:
-        with gr.Tabs():
-            with gr.Tab("Submit"):
+        with gr.Tabs(elem_classes="tab-buttons"):
+            with gr.TabItem("Leaderboard", elem_id="boundary-benchmark-tab-table"):                
+                gr.Markdown("# Boundary Design Leaderboard")
+                leaderboard_type = gr.Dropdown(PROBLEM_TYPES, value="geometrical", label="Problem Type")
+                leaderboard_df = get_leaderboard(leaderboard_type)
+
+                Leaderboard(
+                    value=leaderboard_df,
+                    select_columns=["submission_time", "feasibility", "score", "objective"],
+                    search_columns=["submission_time", "score"],
+                    hide_columns=["result_filename", "submission_filename", "minimize_objective", "boundary_json"],
+                    # filter_columns=["T", "Precision", "Model Size"],
+                )
+            with gr.TabItem("Submit", elem_id="boundary-benchmark-tab-table"):
                 gr.Markdown(
                     """
-                # Plasma Boundary Evaluation App
+                # Plasma Boundary Evaluation Submission
                 Upload your plasma boundary JSON and select the problem type to get your score.
                 """
                 )
@@ -145,27 +157,6 @@ def gradio_interface() -> gr.Blocks:
                     inputs=[problem_type, boundary_file],
                     outputs=output,
                 )
-        with gr.Tab("Leaderboards"):                
-            gr.Markdown("# Leaderboard")
-            leaderboard_type = gr.Dropdown(PROBLEM_TYPES, value="geometrical", label="Problem Type")
-            # refresh_btn = gr.Button("Refresh Leaderboard")
-            leaderboard_df = get_leaderboard(leaderboard_type)
-            # leaderboard_output = gr.Dataframe(label="Leaderboard")
-
-            '''# Trigger refresh when button is clicked
-            refresh_btn.click(
-                lambda pt: get_leaderboard(pt).to_dict(orient="records"),
-                inputs=[leaderboard_type],
-                outputs=[leaderboard_output],
-            )'''
-
-            Leaderboard(
-                value=leaderboard_df,
-                select_columns=["submission_time", "feasibility", "score", "objective"],
-                search_columns=["submission_time", "score"],
-                hide_columns=["result_filename", "submission_filename", "minimize_objective", "boundary_json"],
-                # filter_columns=["T", "Precision", "Model Size"],
-            )
 
             
     return demo