adding upload option

app.py

@@ -51,6 +51,9 @@ def gradio_interface() -> gr.Blocks:
             with gr.Column(visible=True) as leaderboard_ui:
                 dropdown = gr.Dropdown(choices=filenames, label="Choose a leaderboard entry", value=filenames[0])
                 rld_btn = gr.Button(value="Reload")
+
+            with gr.Column(visible=False) as upload_ui:
+                upload_box = gr.File(file_types=[".json"], label="Upload your boundary file")
             
             with gr.Column(visible=False) as generate_ui:
                 aspect_ratio = gr.Number(label="Aspect Ratio", value=3)
@@ -65,10 +68,11 @@ def gradio_interface() -> gr.Blocks:
         def update_ui(mode):
             return (
                 gr.update(visible=(mode == "Leaderboard")),
+                gr.update(visible=(mode == "Upload")),
                 gr.update(visible=(mode == "Generate")),
             )
 
-        mode_selector.change(update_ui, inputs=[mode_selector], outputs=[leaderboard_ui, generate_ui])
+        mode_selector.change(update_ui, inputs=[mode_selector], outputs=[leaderboard_ui, upload_ui, generate_ui])
 
         def get_boundary_from_leaderboard(selected_file):
             row = full_df[full_df['result_filename'] == selected_file].iloc[0]
@@ -82,7 +86,17 @@ def gradio_interface() -> gr.Blocks:
 
         dropdown.change(get_boundary_from_leaderboard, dropdown, plot)
         rld_btn.click(get_boundary_from_leaderboard, dropdown, plot)
+
+        def get_boundary_vis_from_upload(uploaded_file):
+            if uploaded_file is None:
+                raise gr.Error("Please upload a file.")
+            with open(uploaded_file.name, 'r') as f:
+                data = json.load(f)
+            boundary = load_boundary(data)
+            return make_visual(boundary)
         
+        upload_box.change(get_boundary_vis_from_upload, inputs=[upload_box], outputs=[plot])
+
         def generate_random_boundary(aspect_ratio, elongation, rotational_transform, n_field_periods):
             boundary = initial_guess.generate_rotating_ellipse(
                 aspect_ratio=aspect_ratio, elongation=elongation, rotational_transform=rotational_transform, n_field_periods=n_field_periods