app.py

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

learner = load_learner("bears.pkl")

categories = ("grizzly", "black", "white", "brown", "teddy")
def classify_bear(img):
    pred,idx,probs=learner.predict(img)
    return dict(zip(categories, map(float,probs)))

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

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