updated app

app.py

@@ -199,13 +199,14 @@ def video_inference(
     return "avatar.gif"
 
 description = """<p style='text-align: center'> Create a personal avatar from just a single image using ROME. <br> <a href='https://arxiv.org/abs/2206.08343' target='_blank'>Paper</a> | <a href='https://samsunglabs.github.io/rome' target='_blank'>Project Page</a> | <a href='https://github.com/SamsungLabs/rome' target='_blank'>Github</a> </p>"""
-quote = """<blockquote style='text-align: center'> [The] system creates realistic mesh-based avatars from a single <strong>source</strong> photo. These avatars are rigged, i.e., they can be driven by the animation parameters from a different <strong>driving</strong> frame. </blockquote>"""
+quote = """
+> <p style='text-align: center'> [The] system creates realistic mesh-based avatars from a single <strong>source</strong> photo. These avatars are rigged, i.e., they can be driven by the animation parameters from a different <strong>driving</strong> frame. </p>"""
 
 with gr.Blocks() as demo:
     gr.Markdown("# **<p align='center'>ROME: Realistic one-shot mesh-based head avatars</p>**")
     gr.HTML(value="<img src='file/media/tease.gif' alt='Teaser' style='display: block; margin: auto;'>")
     gr.Markdown(description)
-    gr.HTML(quote)
+    gr.Markdown(quote)
 
     with gr.Tab("Image Inference"):
         with gr.Row():