Listo

app.py

@@ -5,7 +5,7 @@ from fastai.vision.all import *
 
 
 # repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
-repo_id = "joheras/intel-image-classification"
+repo_id = "Hitomiblood/intel-image-classification"
 
 learner = from_pretrained_fastai(repo_id)
 labels = learner.dls.vocab
@@ -17,5 +17,5 @@ def 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=['buildings.jpg','forest.jpg']).launch(share=False)
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['20057.jpg','20173.jpg']).launch(share=False)