update

app.py

@@ -124,7 +124,12 @@ Below you can test our (encoder attack) immunization method for making images re
 **This is a research project and is not production-ready. See Section 5 in our paper for discussion on its limitations.**
 <details closed>'''
 
-with gr.Accordion('Click for demo steps:'):
+with gr.Blocks() as demo:
+  gr.HTML(value="""<h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">
+            Interactive Demo: Immunize your Photos Against AI-powered Malicious Manipulation </h1><br>
+        """)
+  gr.HTML(description)
+  with gr.Accordion('Click for demo steps:'):
     gr.HTML('''
     + Upload an image (or select from the below examples!)
 + Mask (using the drawing tool) the parts of the image you want to maintain unedited (e.g., faces of people)
@@ -136,11 +141,6 @@ Now let's immunize your image and try again!
 + You will get the immunized image (which looks identical to the original one) and the edited image, which is now hopefully unrealistic!                   
 </details>''')
 
-
-with gr.Blocks() as demo:
-  gr.HTML(value="""<h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">
-            Interactive Demo: Immunize your Photos Against AI-powered Malicious Manipulation </h1><br>
-        """)
   with gr.Row():  
     with gr.Column():
         imgmask = gr.ImageMask(label='Drawing tool to mask regions you want to keep, e.g. faces')