app.py

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

learn = load_learner("export.pkl")
examples = ['jokicpassing.jpg', 'modric.jpg', 'tennis.jpg']

categories = ('tennis', 'soccer', 'basketball')

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

images = gr.inputs.Image(shape = (224, 224))
labels = gr.outputs.Label()

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