Update app.py

Improved demo desc.

app.py

@@ -388,10 +388,9 @@ with gr.Blocks(theme=gr.themes.Soft(), css=custom_css, title="PEEB") as demo:
     
     with gr.Column():
         title_text = gr.Markdown("# A classifier with Part-based Explainable and Editable Bottleneck (PEEB) | Demo")
+        gr.Markdown("Here is a PEEB classifier pre-trained on Bird-11K and finetuned on CUB-200 (see our [NAACL 2024 paper](https://arxiv.org/abs/2403.05297) and [code](https://github.com/anguyen8/peeb/tree/inspect_ddp)).\n The demo shows how one runs PEEB on an existing image and edit descriptors to modify the classifier (without any re-training).")
         gr.Markdown(
             """
-            Here is a PEEB classifier pre-trained on Bird-11K and finetuned on CUB-200 (see our [NAACL 2024 paper](https://arxiv.org/abs/2403.05297) and [code](https://github.com/anguyen8/peeb/tree/inspect_ddp)).\n The demo shows how one runs PEEB on an existing image and edit descriptors to modify the classifier (without any re-training).
-            \n
             Steps:
             1. **Select an image**. Then, PEEB will show its grounded explanations and the top-1 predicted label with associated softmax confidence score.
             2. **Hover mouse over text descriptors** to see the corresponding region used to match to each text descriptor.