html

app.py

@@ -146,15 +146,15 @@ if __name__ == "__main__":
 
             gr.HTML(
                 """
-                <div style="text-align: center; max-width: 1200px; margin: 20px auto; ">
-                <h1 style="font-weight: 600; font-size: 2rem; margin: 0rem">
+                <div style="text-align: center; max-width: 1200px; margin: 20px auto;">
+                <h1 style="font-weight: 600; font-size: 2rem; margin: 0rem;">
                     UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models
                 </h1>        
-                <h3 style="font-weight: 450; font-size: 1rem; margin: 0rem; text-align: center;"> 
-                    <div style="display: inline-block"><a href='https://arxiv.org/pdf/******'><img src='https://img.shields.io/badge/Arxiv-******-DF826C'></a></div>
-                    <div style="display: inline-block"><a href='https://github.com/ZYM-PKU/UDiffText'><img src='https://img.shields.io/badge/Code-UDiffText-D0F288'></a></div>
-                    <div style="display: inline-block"><a href='https://udifftext.github.io'><img src='https://img.shields.io/badge/Project-UDiffText-8ADAB2'></a></div>
-                </h3> 
+                <ul style="text-align: center; margin: 0; padding: 0;"> 
+                    <li style="display: inline-block; margin:auto;"><a href='https://arxiv.org/pdf/******'><img src='https://img.shields.io/badge/Arxiv-******-DF826C'></a></li>
+                    <li style="display: inline-block; margin:auto;"><a href='https://github.com/ZYM-PKU/UDiffText'><img src='https://img.shields.io/badge/Code-UDiffText-D0F288'></a></li>
+                    <li style="display: inline-block; margin:auto;"><a href='https://udifftext.github.io'><img src='https://img.shields.io/badge/Project-UDiffText-8ADAB2'></a></li>
+                </ul> 
                 <h2 style="text-align: left; font-weight: 450; font-size: 1rem; margin-top: 0.5rem; margin-bottom: 0.5rem">
                     Our proposed UDiffText is capable of synthesizing accurate and harmonious text in either synthetic or real-word images, thus can be applied to tasks like scene text editing (a), arbitrary text generation (b) and accurate T2I generation (c)
                 </h2>