from fastai.vision.all import *
import gradio

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))}

image = gradio.Image(height=512, width=512)
label = gradio.Label(num_top_classes=3)
gradio.Interface(fn=predict, inputs=image, outputs=label).launch(share=True)