Update app.py

app.py

@@ -49,12 +49,11 @@ demo = gr.Interface(
         placeholder="Le patient présente une hypertension artérielle...",
         lines=5
     ),
-    outputs=gr.HighlightedText(),
+    outputs=gr.HighlightedText(label="Identified Medical Entities"),
     #outputs=gr.HTML(label="Identified Medical Entities"),
     title="French Healthcare NER Demo",
     description="""
-    _By **[Hicham Assoudi](https://huggingface.co/hassoudi)** – AI Researcher (Ph.D.), Oracle Consultant, and Author._  
-    🔗 [Follow me on LinkedIn](https://www.linkedin.com/in/assoudi)
+    _By **[Hicham Assoudi](https://huggingface.co/hassoudi)** – AI Researcher (Ph.D.), Oracle Consultant, and Author._ 🔗 [Follow me on LinkedIn](https://www.linkedin.com/in/assoudi)
 
     🔬 **Live Demo**: Try this French Healthcare NER model, part of the healthcare NLP case study featured in the book *[Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face](https://a.co/d/h0xL4lo).* Dive into Chapter 6 for a comprehensive, step-by-step guide on building this model.  
     📚 **Educational Focus**: Gain practical, step-by-step guidance on building NLP models through a healthcare case study featured in the book. Discover how to extract insights from medical records, identify patient conditions, and ensure compliance with healthcare standards.