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import gradio as gr |
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from fastai.vision.all import * |
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import skimage |
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learn = load_learner('guitars.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 = ['assets/Telecaster.jpg', 'assets/Les_Paul.jpg', 'assets/Stratocaster.jpg', 'assets/SG.jpg', 'assets/Flying_V.jpg', 'assets/Explorer.jpg'] |
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interpretation='default' |
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enable_queue=True |
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interface = gr.Interface(fn=predict,inputs=gr.Image(type="pil"),outputs=gr.Label(num_top_classes=5),title=title,examples=examples) |
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interface.queue() |
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interface.launch() |