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Update app.py

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  1. app.py +1 -16
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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- πŸ”¬ 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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-
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- πŸ“š Follow along with the book to build this exact model step-by-step
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- πŸ₯ Perfect for medical text analysis, clinical studies, and healthcare compliance
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- ⚑ Model Trained on Oracle Cloud Infrastructure (OCI)
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-
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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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  ### πŸ”¬ 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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-
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  ### πŸ“š Educational Focus
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  Learn step-by-step how to build this model, from architecture decisions to deployment.
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-
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  ### πŸ₯ Applications
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  Explore the potential of healthcare NLP for medical text analysis, clinical studies, and compliance.
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-
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  ### ⚑ 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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-
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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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  ---
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-
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  _By **Hicham Assoudi** – AI Researcher (Ph.D.), Oracle Consultant, and Author._
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-
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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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  ### πŸ”¬ 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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  ### πŸ“š Educational Focus
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  Learn step-by-step how to build this model, from architecture decisions to deployment.
 
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  ### πŸ₯ Applications
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  Explore the potential of healthcare NLP for medical text analysis, clinical studies, and compliance.
 
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  ### ⚑ 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** – 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."],