import gradio as gr
from fastai.vision.all import *
# import skimage

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))}

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