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Practica1 / app.py

Update app.py

ef441f7 about 2 years ago

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	from fastai.vision.all import *
	import gradio as gr


	# Cargamos el learner
	learn = load_learner('export.pkl')

	# Definimos las etiquetas de nuestro modelo
	labels = learn.dls.vocab


	# Definimos una función que se encarga de llevar a cabo las predicciones
	def predict(img):
	img = PILImage.create(img)
	pred,pred_idx,probs = learn.predict(img)
	return {labels[i]: float(probs[i]) for i in range(len(labels))}

	# Establecemos el título de la App y también indicamos
	title = "Blindness Classifier"
	description = "A Diabetic Retinopathy disease (DR) classifier trained on a Retine Image dataset with fastai. It classifies 5 degrees in the advance of the disease ranging from: [0]-No DR, [1]-Mild DR, [2]-Moderate DR, [3]-Severe DR y [4]-Proliferative DR"

	# Creamos la interfaz y la lanzamos.
	gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(320, 320)), outputs=gr.outputs.Label(num_top_classes=5), title=title, description=description, examples=['f576e45d1da2.png','1df0a4c23c95.png']).launch(share=False)