app.py

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

learn = load_learner('bear_classifier_model.pkl')

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

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

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['black.jpg', 'grizzly.jpg', 'teddy.jpg']

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