Update app.py

app.py

@@ -226,7 +226,10 @@ footer, .gradio-footer, .svelte-1ipelgc, .gradio-logo, .gradio-app__settings {
 with gr.Blocks(css=custom_css) as demo:
     gr.Markdown("<h1 style='font-size:2.5em; color:#007dc3; margin-bottom:0;'>SR100 Model Compiler</h1>", elem_id="main_title")
     gr.Markdown("<h3 style='margin-top:0; color:#000;'>Bring a TFlite INT8 model and compile it for Synaptics Astra SR100. Learn more at <a href='https://developer.synaptics.com/docs/sr/sr100/quick-start?utm_source=hf' target='_blank' style='color:#007dc3; text-decoration:underline;'>Synaptics AI Developer Zone</a></h3>", elem_id="subtitle")
-    gr.Markdown("<p style='margin-top:0; color:#000; font-style:italic;'>Please note: VMEM is fast memory, LPMEM is slow memory. Always make sure the Arena cache size is less than the VMEM for the model to fit correctly.</p>", elem_id="memory_note")
+    gr.Markdown(
+        "<p style='margin-top:0; color:#000; font-style:italic;'>VMEM is fast memory used for high-speed operations, while LPMEM is slower and mainly for less performance-critical data.<br>Keep the Arena cache size smaller than VMEM to ensure the model fits and runs correctly.</p>", 
+        elem_id="memory_note"
+    )
 
     with gr.Row():
         vmem_slider = gr.Slider(minimum=1, maximum=1536, step=1.024, label="Set total VMEM SRAM size available in kB", value=1536.0)