add instructions

app.py

@@ -58,11 +58,13 @@ demo = gr.Blocks()
 with demo:
     gr.Markdown('# Unsupervised Domain Generalization by Learning a Bridge Across Domains')
     gr.Markdown('This demo showcases the cross-domain retrieval capabilities of our self-supervised cross domain training as presented @CVPR 2022. For details please refer to [the paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Harary_Unsupervised_Domain_Generalization_by_Learning_a_Bridge_Across_Domains_CVPR_2022_paper.pdf)')
+    gr.Markdown('## Instructions:')
+    gr.Markdown('Select a query domain from the dropdown menu and the select any random image from the domain using the slider below. The retrieved results from each of the four domains, along with the class label will be presented.')
     gr.Markdown('## Select Query Domain: ')
     domain_drop = gr.Dropdown(domains)
 #     domain_select_button = gr.Button("Select Domain")
-    # slider = gr.Slider(0, min_len)
-    slider = gr.Slider(0, 10000)
+    slider = gr.Slider(0, min_len)
+    # slider = gr.Slider(0, 10000)
     image_button = gr.Button("Run")
 
     with gr.Row():
@@ -78,7 +80,7 @@ with demo:
     out_images = []
     out_captions = []
     for d in domains:
-        gr.Markdown(f'# {d.title()} Domain Images')
+        gr.Markdown(f'# Retrieved Images from {d.title()} Domain:')
         with gr.Row():
             for _ in range(num_results_per_domain):
                 with gr.Column():