app.py

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

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

    def is_cat(x): return x[0].isupper()

    learn = load_learner('model.pkl')

    categories = ('Dog', 'Cat')

    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 = ['dog.jpg', 'cat.jpg', 'dunno.jpg']

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