app

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

# Import any custom code here (if needed)
# Example:
# from your_module import CustomTransform, CustomModel

learn = load_learner('export.pkl')

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

interface = gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=3))
interface.launch(share=True)