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from fastai.vision.all import * |
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import gradio as gr |
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def is_cat(x): return x[0].isupper() |
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learn = load_learner('model.pkl') |
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categories = ('Dog', 'Cat') |
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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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with gr.Blocks() as demo: |
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image = gr.Image(type="pil") |
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label = gr.Label() |
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examples = gr.Examples(['dog.jpg', 'cat.jpg', 'dunno.jpg'], image) |
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classify_btn = gr.Button("Classify") |
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classify_btn.click(fn=classify_image, inputs=image, outputs=label) |
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demo.launch(inline=False) |
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