Update app.py

app.py

@@ -105,19 +105,21 @@ title = """
     """
 
 description = """
-<ul>
-	<li>&quot;<em>mar7aba!</em>&quot;</li>
-	<li>&quot;<em>هاو ئار یوو؟</em>&quot;</li>
-	<li>&quot;<em>Μπιάνβενου α σετ ντεμό!</em>&quot;</li>
-</ul>
-
-<p>What all these sentences are in common? Being greeted in Arabic with &quot;<em>mar7aba</em>&quot; written in the Latin script, then asked how you are (&quot;<em>هاو ئار یوو؟</em>&quot;) in English using the Perso-Arabic script of Kurdish and then, welcomed to this demo in French (&quot;<em>Μπιάνβενου α σετ ντεμό!</em>&quot;) written in Greek script. All these sentences are written in an <strong>unconventional</strong> script.</p>
-
-<p>Although you may find these sentences risible, unconventional writing is a common practice among millions of speakers in bilingual communities. In our paper entitled &quot;<a href="https://sinaahmadi.github.io/docs/articles/ahmadi2023acl.pdf" target="_blank"><strong>Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities</strong></a>&quot;, we shed light on this problem and propose an approach to normalize noisy text written in unconventional writing.</p>
-
-<p>This demo deploys a few models that are trained for <strong>the normalization of unconventional writing</strong>. Please note that this tool is not a spell-checker and cannot correct errors beyond character normalization. For better performance, you can apply hard-coded rules on the input and then pass it to the models, hence a hybrid system.</p>
-
-For more information, you can check out the project on GitHub too: <a href="https://github.com/sinaahmadi/ScriptNormalization" target="_blank"><strong>https://github.com/sinaahmadi/ScriptNormalization</strong></a>
+<div style="text-align: left; font-weight: 450; font-size: 1rem; margin-top: 0.5rem; margin-bottom: 0.5rem">
+    <ul>
+    	<li>&quot;<em>mar7aba!</em>&quot;</li>
+    	<li>&quot;<em>هاو ئار یوو؟</em>&quot;</li>
+    	<li>&quot;<em>Μπιάνβενου α σετ ντεμό!</em>&quot;</li>
+    </ul>
+    
+    <p>What all these sentences are in common? Being greeted in Arabic with &quot;<em>mar7aba</em>&quot; written in the Latin script, then asked how you are (&quot;<em>هاو ئار یوو؟</em>&quot;) in English using the Perso-Arabic script of Kurdish and then, welcomed to this demo in French (&quot;<em>Μπιάνβενου α σετ ντεμό!</em>&quot;) written in Greek script. All these sentences are written in an <strong>unconventional</strong> script.</p>
+    
+    <p>Although you may find these sentences risible, unconventional writing is a common practice among millions of speakers in bilingual communities. In our paper entitled &quot;<a href="https://sinaahmadi.github.io/docs/articles/ahmadi2023acl.pdf" target="_blank"><strong>Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities</strong></a>&quot;, we shed light on this problem and propose an approach to normalize noisy text written in unconventional writing.</p>
+    
+    <p>This demo deploys a few models that are trained for <strong>the normalization of unconventional writing</strong>. Please note that this tool is not a spell-checker and cannot correct errors beyond character normalization. For better performance, you can apply hard-coded rules on the input and then pass it to the models, hence a hybrid system.</p>
+    
+    For more information, you can check out the project on GitHub too: <a href="https://github.com/sinaahmadi/ScriptNormalization" target="_blank"><strong>https://github.com/sinaahmadi/ScriptNormalization</strong></a>
+</div>
 """
 
 examples = [