app.py

import gradio as gr

examples = [
    ["Nevus_NCI.jpg"],
    ["melanoma_example.jpg"],
    # Add more images as needed
]

# Title and description
title = "Skin Cancer Image Classification"
description = """
This app classifies skin cancer images into different categories using a pre-trained model. 🖼️✨
Upload your own image or use one of the examples to see the results.
"""

# Add a disclaimer
disclaimer = """
**Disclaimer:**  
⚠️ *This demo is for educational and informational purposes only. It is **not** intended to provide a medical diagnosis, nor should it be considered a substitute for professional medical advice, diagnosis, or treatment. We are not liable for any misclassification of skin cancer images. If you have concerns about your health, please consult a healthcare professional.*

**Avviso legale:**  
⚠️ *Questa demo è solo a scopo educativo e informativo. **Non** è intesa a fornire una diagnosi medica, né deve essere considerata un sostituto di un consulto medico professionale, una diagnosi o un trattamento. Non siamo responsabili per eventuali errori nella classificazione delle immagini di cancro della pelle. Se hai preoccupazioni sulla tua salute, consulta un professionista sanitario.*
"""

# Load the model and launch the app with title, description, examples, and disclaimer
demo = gr.load("models/Anwarkh1/Skin_Cancer-Image_Classification", examples=examples, title=title, description=description)

# Add Markdown with disclaimer
with gr.Blocks() as app:
    demo.launch()
    gr.Markdown(disclaimer)

app.launch()