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

path = Path()
path.ls(file_exts='.pkl')
learn_inf = load_learner(path/'export.pkl')

categories = ('black', 'grizzly', 'teddy')
def classify_image(img):
    pred, idx, probs = learn_inf.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.Image()
label = gr.Label()
examples = ['grizzly.jpg', 'black.jpg', 'teddy.jpg']
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
iface.launch(inline=False)