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Practica1 / app.py

Update app.py

2dc550f verified 4 months ago

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



	# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
	# repo_id = "islasher/intel-image-classification"
	repo_id = "islasher/modelResnet34_blindness_LEARNER"

	learner = from_pretrained_fastai(repo_id)
	labels = learner.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 = learner.predict(img)
	return {labels[i]: float(probs[i]) for i in range(len(labels))}

	# Creamos la interfaz y la lanzamos.
	gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['00cb6555d108.png','059bc89df7f4.png']).launch(share=False)
	# gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['10502.jpg','10402.jpg']).launch(share=False)