Update app.py

app.py

@@ -55,9 +55,9 @@ demo = gr.Interface(
     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)
 
-    🔬 **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.  
-    ⚡ **Powered by OCI**: This model was trained on Oracle Cloud Infrastructure, leveraging its robust AI capabilities.
+    🔬 **Try the French Healthcare NER model**, developed as part of the healthcare NLP case study from 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).
+
+    This Hugging Face Space demonstrates the step-by-step process detailed in 📖 **Chapters 4 to 7**, including healthcare dataset preparation and fine-tuning a transformer-based NER model. It offers a practical example of how NLP can extract valuable insights from 🏥 **French medical texts**, such as identifying conditions, treatments, and more.
     """,
     article="""
     ### **Disclaimer**