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

learn = load_learner('model.pkl')

image = gr.Image(type='pil', height=192, width=192)
label = gr.Label()

categories = ('Black Bear', 'Grizzly Bear', 'Teddy Bear')

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

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch(inline=False)