Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -46,8 +46,9 @@ demo = gr.Interface(
|
|
46 |
),
|
47 |
outputs=gr.HighlightedText(),
|
48 |
#outputs=gr.HTML(label="Identified Medical Entities"),
|
49 |
-
title="French Healthcare NER Demo
|
50 |
description="""
|
|
|
51 |
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'
|
52 |
|
53 |
π Follow along with the book to build this exact model step-by-step
|
@@ -55,6 +56,30 @@ demo = gr.Interface(
|
|
55 |
β‘ Model Trained on Oracle Cloud Infrastructure (OCI)
|
56 |
|
57 |
By [Hicham Assoudi] - AI Researcher (Ph.D.) β’ Oracle Consultant β’ Author
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
58 |
""",
|
59 |
examples=[
|
60 |
["Le medecin donne des antibiotiques en cas d'infections des voies respiratoires e.g. pneumonie."],
|
|
|
46 |
),
|
47 |
outputs=gr.HighlightedText(),
|
48 |
#outputs=gr.HTML(label="Identified Medical Entities"),
|
49 |
+
title="French Healthcare NER Demo",
|
50 |
description="""
|
51 |
+
As featured in **Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face**.
|
52 |
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'
|
53 |
|
54 |
π Follow along with the book to build this exact model step-by-step
|
|
|
56 |
β‘ Model Trained on Oracle Cloud Infrastructure (OCI)
|
57 |
|
58 |
By [Hicham Assoudi] - AI Researcher (Ph.D.) β’ Oracle Consultant β’ Author
|
59 |
+
# French Healthcare NER Demo
|
60 |
+
As featured in _Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face_.
|
61 |
+
|
62 |
+
### π¬ Live Demo
|
63 |
+
Experience a demonstration of the French Healthcare NER model described in Chapter 6 of the book.
|
64 |
+
|
65 |
+
### π Educational Focus
|
66 |
+
Learn step-by-step how to build this model, from architecture decisions to deployment.
|
67 |
+
|
68 |
+
### π₯ Applications
|
69 |
+
Explore the potential of healthcare NLP for medical text analysis, clinical studies, and compliance.
|
70 |
+
|
71 |
+
### β‘ Built on OCI
|
72 |
+
The model was trained on Oracle Cloud Infrastructure (OCI) to leverage its AI capabilities.
|
73 |
+
|
74 |
+
---
|
75 |
+
|
76 |
+
### **Disclaimer**
|
77 |
+
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.
|
78 |
+
|
79 |
+
---
|
80 |
+
|
81 |
+
_By **Hicham Assoudi** β AI Researcher (Ph.D.), Oracle Consultant, and Author._
|
82 |
+
|
83 |
""",
|
84 |
examples=[
|
85 |
["Le medecin donne des antibiotiques en cas d'infections des voies respiratoires e.g. pneumonie."],
|