Update app.py

app.py

@@ -1,20 +1,20 @@
 from fastai.vision.all import *
-	import gradio as gr
+import gradio as gr
 
 	
 	# Cargamos el learner
-	learn = load_learner(model.pkl')
+learn = load_learner(model.pkl')
 	
 	# Definimos las etiquetas de nuestro modelo
-	labels = learn.dls.vocab
+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))}
+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))}
 	    
 	# 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=['kangaroo.jpg']).launch(share=False)
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['kangaroo.jpg']).launch(share=False)