app.py

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

from huggingface_hub import fastai
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)