added demo video link

app.py

@@ -348,12 +348,9 @@ def process_image(image, selected_checkpoint_path):
         results_html = f"""
         <style>
             :root {{
-                /* Your custom accent colors are fine */
                 --primary-color: #4f46e5;
                 --success-color: #10b981;
 
-                /* --- FIX: Use Gradio's theme variables --- */
-                /* This makes your component light/dark mode aware */
                 --text-primary: var(--body-text-color);
                 --text-secondary: var(--body-text-color-subdued);
                 --background-dark: var(--background-fill-primary);
@@ -819,6 +816,7 @@ def create_interface(checkpoint_list, default_checkpoint, initial_status):
                 2. Upload an image or capture from webcam (or select an example below)
                 3. Click "Classify Image"
                 4. View detected faces with age, gender, and emotion predictions below
+                Demo video of usage of this space: https://youtu.be/V6-9QTf1xaQ
                 """)
 
         # Upload Image | Annotated Image