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import gradio as gr |
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from fastai.vision.all import * |
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learn = load_learner('seasons_model.pkl') |
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categories = learn.dls.vocab |
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def classify_image(img): |
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pred,idx,probs = learn.predict(img) |
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return dict(zip(categories,map(float,probs))) |
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image = gr.inputs.Image(shape=(224,224)) |
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label = gr.outputs.Label() |
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examples = ['fall_photo.jpeg', 'winter_photo.jpeg', 'spring_photo.jpeg', 'summer_photo.jpeg'] |
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iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
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iface.launch(inline=False) |
