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

learn = load_learner('owl_model.pkl')
categories = ('apple cut in half', 'barn owl face')

def classifier(img):
    pred, idx, prob = learn.predict(img)
    return dict(zip(categories, map(float, prob)))

image = gr.inputs.Image(shape = (192, 192))
label = gr.outputs.Label()
examples = ['apple.jpg', 'barn_owl.jpg']
# examples = 

iface = gr.Interface(fn=classifier, inputs=image, outputs=label, examples = examples)
iface.launch(inline = False)