alter code

app.py

@@ -3,16 +3,17 @@ import skimage
 
 import gradio as gr
 
+learn = load_learner('export_pets.pkl') #this is a kinda dog detector it seems
 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))}
 
-    learn = load_learner('export_pets.pkl') #this is a kinda dog detector it seems
 
-    gr.Interface(fn=predict,
-             title="Pet Breed Classifier",
-             description="Pet breed classifier using Oxford Pets Database. Test for Gradio and HuggingFace",
-             inputs=gr.Image(width=512, height=512), #this is the proper syntax for images not the (shape=(xxx,xxx))
-             outputs=gr.Label(num_top_classes=3)).launch(share=True)
+
+gr.Interface(fn=predict,
+            title="Pet Breed Classifier",
+            description="Pet breed classifier using Oxford Pets Database. Test for Gradio and HuggingFace",
+            inputs=gr.Image(width=512, height=512), #this is the proper syntax for images not the (shape=(xxx,xxx))
+            outputs=gr.Label(num_top_classes=3)).launch(share=True)