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import gradio as gr |
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from fastai.vision.all import * |
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learn = load_learner('export.pkl') |
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categories = ('Lemon', 'Orange','dragon fruit', 'green apple', 'red apple', 'yellow apple') |
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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 = (256, 256)) |
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label = gr.outputs.Label() |
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examples = ['apple.jpeg', 'dragon.jpeg', 'orange.jpeg', 'lemon.webp', 'green.jpeg', 'yellow.jpeg'] |
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intf = gr.Interface(fn = classify_image, inputs=image, outputs=label, examples=examples) |
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intf.launch() |
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