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from fastai.vision.all import load_learner
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from huggingface_hub import hf_hub_download
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# Descarga el modelo desde Hugging Face
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model_path = hf_hub_download(repo_id="Zemog13/gradio-test", filename="export.pkl")
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learn = load_learner(model_path)
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# Aqu铆 puedes a帽adir c贸mo usar el modelo, por ejemplo, con Gradio
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import gradio as gr
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def predict(image):
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pred, _, probs = learn.predict(image)
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return {learn.dls.vocab[i]: float(probs[i]) for i in range(len(probs))}
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# Interfaz de Gradio
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demo = gr.Interface(fn=predict, inputs="image", outputs="label")
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demo.launch()
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