Update app.py

app.py

@@ -1,17 +1,17 @@
 import gradio as gr
 from fastai.vision.all import *
 import skimage
-
-learn = load_learner('export.pkl')
 def is_cat(x): return x[0].isupper()
+learn = load_learner('export.pkl')
+labels = learn.dls.vocab
 labels = learn.dls.vocab
 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))}
 
-title = "Pet Breed Classifier"
-description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
+title = "Pet  Classifier"
+description = "A pet  classifier trained on the Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
 article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
 examples = ['sherpa.webp']
 interpretation='default'