added categories

app.py

@@ -7,11 +7,13 @@ def is_cat(x):
 
 learn = load_learner('model.pkl')
 
+categories = ('Dog','Cat')
+
 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))}
+    return dict(zip(categories, map(float,probs)))
 
 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."