Update app.py

app.py

@@ -10,9 +10,9 @@ labels = learner.dls.vocab
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(img):
-    img = PILImage.create(img)
+    img = Image.open(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=(150, 150)), outputs=gr.outputs.Label(num_top_classes=3),examples=['street.jpg','mountain.jpg']).launch(share=False)
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['street.jpg','mountain.jpg']).launch(share=False)