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09bda19
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Create app.py

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  1. app.py +19 -0
app.py ADDED
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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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+
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+ # repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
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+ repo_id = "Alesteba/deep_model_03"
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+
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+ learner = from_pretrained_fastai(repo_id)
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+ labels = learner.dls.vocab
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+
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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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+ 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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+
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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.Label(num_top_classes=3),examples=['buildings.jpg','forest.jpg']).launch(share=False)
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+