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from fastai.vision.all import * |
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import gradio as gr |
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import skimage |
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learn = load_learner('export.pkl') |
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labels = learn.dls.vocab |
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def predict(img): |
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img = PILImage.create(img) |
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pred,pred_idx,probs = learn.predict(img) |
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return {labels[i]: float(probs[i]) for i in range(len(labels))} |
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title = "Guitar Classifier" |
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examples = ['classical.jpeg', 'bass.jpeg', 'electric.jpeg'] |
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interpretation='default' |
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enable_queue=True |
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gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch() |