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Update app.py
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app.py
CHANGED
@@ -48,38 +48,23 @@ demo = gr.Interface(
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#outputs=gr.HTML(label="Identified Medical Entities"),
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title="French Healthcare NER Demo",
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description="""
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As featured in **Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face**.
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π¬ Live demo of the French Healthcare NER model built in Chapter 6 of the book 'Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face Kindle Edition'
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π Follow along with the book to build this exact model step-by-step
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π₯ Perfect for medical text analysis, clinical studies, and healthcare compliance
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β‘ Model Trained on Oracle Cloud Infrastructure (OCI)
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By [Hicham Assoudi] - AI Researcher (Ph.D.) β’ Oracle Consultant β’ Author
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# French Healthcare NER Demo
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As featured in _Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face_.
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### π¬ Live Demo
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Experience a demonstration of the French Healthcare NER model described in Chapter 6 of the book.
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### π Educational Focus
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Learn step-by-step how to build this model, from architecture decisions to deployment.
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### π₯ Applications
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Explore the potential of healthcare NLP for medical text analysis, clinical studies, and compliance.
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### β‘ Built on OCI
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The model was trained on Oracle Cloud Infrastructure (OCI) to leverage its AI capabilities.
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---
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### **Disclaimer**
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This is a **demo model** provided for educational purposes. It was trained on a limited dataset and is not intended for production use, clinical decision-making, or real-world medical applications.
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---
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_By **Hicham Assoudi** β AI Researcher (Ph.D.), Oracle Consultant, and Author._
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""",
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examples=[
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["Le medecin donne des antibiotiques en cas d'infections des voies respiratoires e.g. pneumonie."],
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#outputs=gr.HTML(label="Identified Medical Entities"),
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title="French Healthcare NER Demo",
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description="""
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As featured in _Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face_.
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[Get the Book](https://a.co/d/eg7my5G)
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### π¬ Live Demo
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Experience a demonstration of the French Healthcare NER model described in Chapter 6 of the book.
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### π Educational Focus
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Learn step-by-step how to build this model, from architecture decisions to deployment.
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### π₯ Applications
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Explore the potential of healthcare NLP for medical text analysis, clinical studies, and compliance.
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### β‘ Built on OCI
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The model was trained on Oracle Cloud Infrastructure (OCI) to leverage its AI capabilities.
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---
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### **Disclaimer**
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This is a **demo model** provided for educational purposes. It was trained on a limited dataset and is not intended for production use, clinical decision-making, or real-world medical applications.
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---
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_By **Hicham Assoudi** β AI Researcher (Ph.D.), Oracle Consultant, and Author._
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""",
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examples=[
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["Le medecin donne des antibiotiques en cas d'infections des voies respiratoires e.g. pneumonie."],
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