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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('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 = "Papu vs. Beckham" |
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description = "Clasificador de imágenes de Papu Gomez y David Beckham. Son tan parecidos qué tuvimos que crear un clasificador basado en inteligencia artificial para distinguirlos.\n(Created with fastai as a demo for Gradio and HuggingFace Spaces)" |
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article="<p style='text-align: center'><a href='https://www.ole.com.ar/seleccion/messi-kun-aguero-papu-gomez-beckham-corte-pelo-twitch_0_y5GKfj2QAr.html' target='_blank'>Nota explicativa</a></p>" |
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examples = ['beckham.jpg', 'papu-gomez.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),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch() |
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