import gradio as gr
from fastai.vision.all import load_learner, PILImage

learn = load_learner('export.pkl')
labels = learn.dls.vocab

def predict(img):
    img = PILImage.create(img)
    pred, pred_idx, probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

iface = gr.Interface(
    fn=predict,
    inputs=gr.Image(),
    outputs=gr.Label(num_top_classes=3),
    title="Breast Cancer Detection",
    description="Upload a breast X-ray image to detect potential issues.",
    examples=['img1.jpeg', 'img2.jpeg']
)

iface.launch()