Update app.py

app.py

@@ -12,7 +12,7 @@ import gradio as gr
 import random
 from inference import generate_response
 from logger import log_user_feedback
-from dashboard import update_dashboard_plot
+from dashboard import update_dashboard_plot, evolution_accuracy_plot
 from watchdog import retrain_model
 from init_model import load_model
 
@@ -120,19 +120,21 @@ with gr.Blocks(title="EvoTransformer v2.1 – Compare Options and Learn") as dem
         outputs=[feedback_output]
     )
 
-    with gr.Row():
-        gr.Markdown("### 📊 Dashboard")
-        dashboard_plot = gr.Plot()
-        dashboard_plot = update_dashboard_plot()
-
     with gr.Row():
         retrain_button = gr.Button("♻️ Retrain Evo")
         retrain_status = gr.Textbox(label="Retrain Status")
 
     retrain_button.click(fn=retrain_model, inputs=[], outputs=[retrain_status])
 
+    # === Accordion Visual Panels ===
     with gr.Accordion("🧬 EvoTransformer Architecture", open=False):
         arch_box = gr.Textbox(label="Model Configuration", value=get_architecture_summary(model), lines=5, interactive=False)
 
+    with gr.Accordion("📈 Evolution Accuracy Plot", open=False):
+        evo_plot = gr.Plot(label="Accuracy per Generation", value=evolution_accuracy_plot())
+
+    with gr.Accordion("📊 User Feedback Summary", open=False):
+        dashboard_img = gr.Image(value=update_dashboard_plot(), label="Solution Votes")
+
 if __name__ == "__main__":
     demo.launch(share=True)