Update app.py

app.py

@@ -44,17 +44,17 @@ Leukemia Detection with Morphology Attributes
 </div>
 """
 
-abstract = """"
+abstract = """
 🤗 This is the demo for <b>Leukemia Detection with with Morphology Attributes</b>.
 
 🆒 Our goal is to detect infected cells with better Morphology for the bettre diagnosis explainabilty.
 
 ⚡ For faster inference, you may duplicate the space and use the GPU setting.
 
-Note : Image size: 640 pixels with a resolution of 100x
-""""
+🧪 Note : Image size: 640 pixels with a resolution of 100x
+"""
 
-footer = r""""
+footer = r"""
 ## 🦁 Developed by  
 ***Intelligent Machines Lab***, Information Technology University of Punjab  
 <a href="https://im.itu.edu.pk/" target="_blank">🔗 website</a>  
@@ -66,8 +66,10 @@ Our demo paper is available at: A Large-scale Multi Domain Leukemia Dataset for
 ## 🦁 Github Repository  
 We would be grateful if you consider starring our  
 <a href="https://github.com/intelligentMachines-ITU/Blood-Cancer-Dataset-Lukemia-Attri-MICCAI-2024" target="_blank">⭐ Blood Cancer Dataset Repository</a>  
-## 📧 **Contact**
+
+## 🦁 Contact
 If you have any questions, please feel free to contact Abdul Rehman <b>(phdcs23002@itu.edu.pk)</b>.
+
 ## 📝 Citation  
 ```bibtex
 @inproceedings{rehman2024large,
@@ -80,7 +82,7 @@ If you have any questions, please feel free to contact Abdul Rehman <b>(phdcs230
 }
 
 
-""""
+"""
 
 css = """
 h1#title {