app.py

__all__ = ['learn', 'classify_image', 'categories',
           'image', 'label', 'examples', 'intf']

from huggingface_hub import hf_hub_download
from fastai.learner import *
import gradio as gr

learn = load_learner('model.pkl')

categories = ('airbaby', 'airchair', 'airflare', 'headspin', 'hollow back')


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 = ['air_chair.jpg', 'hollowback.jpeg',
            'airbaby.jpeg', 'airflare.jpeg', 'headspin.jpeg']

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