app.py

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

import gradio as gr

def classify_image(img):
    from fastai.vision.all import load_learner
    learn = load_learner('lego-bricks-model.pkl')
    categories = (
        'Brick_2357', 'Brick_3002', 'Brick_3003', 'Brick_3004', 'Brick_3010', 'Brick_30145', 'Brick_3065', 'Brick_6223', 'Brick_702'
    )

    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

image = gr.inputs.Image(shape=(256, 256))
label = gr.outputs.Label()
examples = []

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