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from fastai.vision.all import * |
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import gradio as gr |
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learn = load_learner('export.pkl') |
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labels = ["Edad 1","Edad 2","Edad 3","Edad 4","Edad 5","Edad 6","Edad 7"] |
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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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gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['1.jpg','2.jpg','3.jpg','4.jpg','5.jpg','7.jpg']).launch(share=False) |
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