Update app.py

app.py

@@ -296,6 +296,7 @@ def load_from_dir(dir_path: str, selected_tasks=None, selected_frameworks=None,
 def auto_refresh_from_dir(dir_path, tasks, frameworks, types, precisions, search):
     return load_from_dir(dir_path, tasks, frameworks, types, precisions, search, force_refresh=True)
 
+
 def parse_and_generate_plot(df_data, indices_str):
     if not indices_str or not indices_str.strip():
         return generate_radar_plot([])
@@ -307,6 +308,13 @@ def parse_and_generate_plot(df_data, indices_str):
         return generate_radar_plot([])
 
 
+def initial_load(dir_path, tasks, frameworks, types, precisions, search):
+    """Load data and generate initial radar plot with rows 0,1,2."""
+    table_html, df_data = auto_refresh_from_dir(dir_path, tasks, frameworks, types, precisions, search)
+    plot = parse_and_generate_plot(df_data, "0,1,2")
+    return table_html, df_data, plot
+
+
 def build_app() -> gr.Blocks:
     # NUCLEAR CSS FIX: Overwrite all generic Gradio variables to force light mode
     row_css = """
@@ -490,8 +498,7 @@ def build_app() -> gr.Blocks:
                     gr.Markdown("**How to use:** Look at the 'Row #' column in the table. Enter row numbers (e.g., 0,1,2) and click Generate.")
                     
                     with gr.Row():
-                        row_indices_input = gr.Textbox(label="Row Numbers", placeholder="0,1,2", scale=3)
-                        # Added elem_id="gen_btn" here for specific CSS targeting
+                        row_indices_input = gr.Textbox(label="Row Numbers", placeholder="0,1,2", value="0,1,2", scale=3)
                         generate_btn = gr.Button("🎯 Generate", variant="primary", scale=1, elem_id="gen_btn")
                     
                     radar_plot = gr.Plot(value=generate_radar_plot([]), elem_classes="plot-container")
@@ -500,7 +507,9 @@ def build_app() -> gr.Blocks:
         df_data_state = gr.State([])
         inputs = [dir_path, task_filter, framework_filter, model_type_filter, precision_filter, search_input]
         
-        demo.load(fn=auto_refresh_from_dir, inputs=inputs, outputs=[leaderboard_output, df_data_state])
+        # Load data and generate initial plot on page load
+        demo.load(fn=initial_load, inputs=inputs, outputs=[leaderboard_output, df_data_state, radar_plot])
+        
         search_input.change(fn=load_from_dir, inputs=inputs, outputs=[leaderboard_output, df_data_state])
         task_filter.change(fn=load_from_dir, inputs=inputs, outputs=[leaderboard_output, df_data_state])
         framework_filter.change(fn=load_from_dir, inputs=inputs, outputs=[leaderboard_output, df_data_state])