Update app.py

app.py

@@ -2,6 +2,9 @@ import gradio as gr
 from fastai.vision.all import *
 import skimage
 
+def is_cat(x): 
+    return x[0].isupper() 
+
 learn = load_learner('model.pkl')
 
 labels = learn.dls.vocab
@@ -10,8 +13,6 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-def is_cat(x): 
-    return x[0].isupper() 
 
 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."