Update app.py

app.py

@@ -6,11 +6,12 @@ learn = load_learner('model.pkl')
 
 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))}
+    img = PILImage.create(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() 
+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."