ss

app.py

@@ -114,32 +114,34 @@ def run(image, prompt, seed, immunize=False):
 
 description='''<u>Official</u> demo of our paper: <br>
 **Raising the Cost of Malicious AI-Powered Image Editing** <br>
-*[Hadi Salman](https://twitter.com/hadisalmanX)\*, [Alaa Khaddaj](https://twitter.com/Alaa_Khaddaj)\*, [Guillaume Leclerc](https://twitter.com/gpoleclerc)\*, [Andrew Ilyas](https://twitter.com/andrew_ilyas), [Aleksander Madry](https://twitter.com/aleks_madry)* <br>
-MIT &nbsp;&nbsp;[Paper](https://arxiv.org/abs/2302.06588) 
-&nbsp;&nbsp;[Blog post](https://gradientscience.org/photoguard/) 
-&nbsp;&nbsp;[![](https://badgen.net/badge/icon/GitHub?icon=github&label)](https://github.com/MadryLab/photoguard)
-<br />
-Below you can test our (encoder attack) immunization method for making images resistant to manipulation by Stable Diffusion. This immunization process forces the model to perform unrealistic edits.
-<br />
-**This is a research project and is not production-ready. See Section 5 in our paper for discussion on its limitations.**
-<details closed>'''
+*<a href='https://twitter.com/hadisalmanX' target='_blank'>Hadi Salman</a>, <a href='https://twitter.com/Alaa_Khaddaj' target='_blank'>Alaa Khaddaj</a>, 
+<a href='https://twitter.com/gpoleclerc' target='_blank'>Guillaume Leclerc</a>, <a href=`https://twitter.com/andrew_ilyas` target='_blank'>Andrew Ilyas</a>, 
+<a href='https://twitter.com/aleks_madry' target='_blank'>Aleksander Madry</><br>
+MIT <a href=`https://arxiv.org/abs/2302.06588' target='_blank'>Paper</a>, <a href='https://gradientscience.org/photoguard/' target='_blank'>Blog post</a> 
+'''
+
 
 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('''<a href="https://github.com/MadryLab/photoguard"><img src="https://badgen.net/badge/icon/GitHub?icon=github&label" alt="GitHub"></a>''')
+  gr.HTML('''Below you can test our (encoder attack) immunization method for making images resistant to manipulation by Stable Diffusion. 
+    This immunization process forces the model to perform unrealistic edits.<br>
+    <b>This is a research project and is not production-ready. See Section 5 in our paper for discussion on its limitations.</b>
+    ''')
+  with gr.Accordion(label='Click for demo steps:', open=False):
     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)
-+ Add a prompt to edit the image accordingly (see examples below)
-+ Play with the seed and click submit until you get a realistic edit that you are happy with (or use default seeds below)
-
-Now let's immunize your image and try again! 
-+ Click on the "immunize" button, then submit.
-+ You will get the immunized image (which looks identical to the original one) and the edited image, which is now hopefully unrealistic!                   
-</details>''')
+    - 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)
+    - Add a prompt to edit the image accordingly (see examples below)
+    - Play with the seed and click submit until you get a realistic edit that you are happy with (or use default seeds below)
+
+    Now let's immunize your image and try again! 
+    - Click on the "immunize" button, then submit.
+    - You will get the immunized image (which looks identical to the original one) and the edited image, which is now hopefully unrealistic!                   
+    ''')
 
   with gr.Row():  
     with gr.Column():