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Update app.py

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  1. app.py +2 -1
app.py CHANGED
@@ -53,7 +53,8 @@ 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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- _By **Hicham Assoudi** – AI Researcher (Ph.D.), Oracle Consultant, and Author._
 
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  πŸ”¬ **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.
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  πŸ“š **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.
 
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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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+ _By **[Hicham Assoudi](https://huggingface.co/hassoudi)** – AI Researcher (Ph.D.), Oracle Consultant, and Author._
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+ πŸ”— [Follow me on LinkedIn](https://www.linkedin.com/in/assoudi)
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  πŸ”¬ **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.
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  πŸ“š **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.