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File size: 2,490 Bytes
8b8a06c a2b8dba 8b8a06c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | import gradio as gr
from PIL import Image
def load_image(image):
return image
def analyze_image(image):
segmentation_result = image
anomaly_detection_result = image
disease = "Exemple de maladie de la peau"
advice = "Buvez suffisamment d'eau pour maintenir votre peau hydratée de l'intérieur."
return segmentation_result, anomaly_detection_result, disease, advice
def clear_analysis():
return None, None, None, "", ""
def quitter():
th = print("thanks")
return th
def aller_vers_scanner():
return gr.update(visible=False), gr.update(visible=True)
def retour_accueil():
return gr.update(visible=True), gr.update(visible=False)
with gr.Blocks() as demo:
with gr.Row(visible=True) as page_accueil:
with gr.Column(elem_id="centered-elements"):
gr.Image("logo2.png", height=200)
gr.Markdown("<h2 style='text-align:center;'>Bienvenue sur DermScan</h2>")
gr.Markdown("<h4 style='text-align:center;'>Votre application de confiance pour l'analyse et la santé de votre peau.</h4>")
with gr.Row():
btn_quitter = gr.Button("Quitter")
btn_scanner = gr.Button("Scanner", elem_classes="btn")
with gr.Column(visible=False) as page_scanner:
with gr.Row() :
gr.Image("logo2.png", height=200)
gr.Markdown("<h2>Scanner votre Image</h2>")
with gr.Row():
with gr.Column():
image_input = gr.Image(type="pil", label="Charger Image")
btn_analyze = gr.Button("Analyser", elem_classes="btn")
image_output_1 = gr.Image(label="Segmentation", height=343)
image_output_2 = gr.Image(label="Détection d'anomalie", height=343)
text = gr.Textbox(label="Vous souffrez de :", placeholder="Maladie")
text2 = gr.TextArea(label="Quelques conseils", placeholder="Nos Conseils")
with gr.Row():
btn_clear = gr.Button("Effacer")
btn_retour = gr.Button("Retour")
btn_quitter.click(quitter)
btn_scanner.click(aller_vers_scanner, None, [page_accueil, page_scanner])
btn_retour.click(retour_accueil, None, [page_accueil, page_scanner])
btn_analyze.click(analyze_image, inputs=image_input, outputs=[image_output_1, image_output_2, text, text2])
btn_clear.click(clear_analysis, None, [image_input, image_output_1, image_output_2, text, text2])
demo.launch()
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