app.py

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


learn = load_learner('model.pkl')

examples = ['burger.jpg', 'burger1.jpg', 'hotdog.png', 'hotdog1.jpg']
categories = ('Burger', 'Hotdog')
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()

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