Create app.py
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app.py
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from fastai.vision.all import *
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import gradio as gr
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# Cargamos el learner
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learn = load_learner('export.pkl')
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# Definimos las etiquetas de nuestro modelo
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labels = learn.dls.vocab
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# Definimos una función que se encarga de llevar a cabo las predicciones
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def predict(img):
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img = PILImage.create(img)
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Image = learn.predict(img)
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return {Image}
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# Creamos la interfaz y la lanzamos.
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gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Image(shape=(128, 128)),examples=['ortofoto12.jpg','ortofoto18.jpg','23429020_15.png']).launch(share=False)
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