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

learn = load_learner('export.pkl')

categories = ('grizzly', 'black', 'teddy')

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

image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label()

iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
iface.launch()