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from huggingface_hub import from_pretrained_fastai |
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import gradio as gr |
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from fastai.vision.all import * |
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repo_id = "nlmaldonadog/pract1-firstmodel-chest-xray" |
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learner = from_pretrained_fastai(repo_id) |
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labels = learner.dls.vocab |
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def predict(img): |
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pred,pred_idx,probs = learner.predict(img) |
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return {labels[i]: float(probs[i]) for i in range(len(labels))} |
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lista = [ |
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'NORMAL2-IM-0035-0001.jpeg', |
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'NORMAL2-IM-0349-0001.jpeg', |
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'NORMAL2-IM-0374-0001.jpeg', |
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'person78_bacteria_386.jpeg', |
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'person83_bacteria_407.jpeg', |
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'person91_bacteria_447.jpeg' |
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] |
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gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=2),examples=lista).launch(share=False) |
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