import gradio as gr from fastai.vision.all import * def is_cat(x): return x[0].isupper() __all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf'] learn = load_learner('model.pkl') categories = ('cat', 'lion', 'tiger','dog','person') 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 = ['cat.jpg', 'tiger.jpg', 'lion.jpg','dog.jpg','person.jpg'] intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) intf.launch(inline=False)