app.py

import gradio as gr
from segmentation import segment_image
import numpy as np
import cv2

# Image de test par défaut
default_image_path = "./image.png"

def segment_and_display(image_path=default_image_path):
    # Appeler la fonction de segmentation
    original_image, segmented_image = segment_image(image_path)
    
    # Retourner les images pour l'affichage
    return original_image, segmented_image

# Charger l'image de test par défaut
default_original_image, default_segmented_image = segment_image(default_image_path)

# Interface Gradio
iface = gr.Interface(
    fn=segment_and_display,
    inputs=gr.Image(type="filepath", label="Upload Image"),
    outputs=[
        gr.Image(type="numpy", label="Original Image"),
        gr.Image(type="numpy", label="Segmented Image")
    ],
    title="Image Segmentation with K-means (k=2)",
    description="Upload an image or use the default test image to see the segmentation result.",
    examples=[
        [default_image_path]
    ],
    live=True  # Permet de voir les changements en temps réel
)

# Afficher l'image de test par défaut lorsque l'interface est ouverte
iface.launch(share=True, inline=True)