let's deploy to huggingface spaces

app.py

@@ -1,5 +1,6 @@
-from fastai.vision.all import *
 import gradio as gr
+from fastai.vision.all import *
+import skimag
 
 learn = load_learner('sport_car_classifier.pkl')
 labels = learn.dls.vocab
@@ -12,9 +13,9 @@ gr.Interface(
     fn=predict, 
     inputs=gr.inputs.Image(
         shape=(512, 512)), 
-    outputs=gr.outputs.Label(num_top_classes=3),
-    title="Sport car classifier",
-    description="An app design to classifie the most relateve sportcars",
-    examples=['bmw.jpg', 'lamborghini.jpg', 'koenigsegg.jpg'],
-    interpretation='default',
-    enable_queue=True).launch(share=True)
+        outputs=gr.outputs.Label(num_top_classes=3),
+        title="Sport car classifier",
+        description="An app design to classifie the most relateve sportcars",
+        examples=['bmw.jpg', 'lamborghini.jpg', 'koenigsegg.jpg'],
+        interpretation='default',
+        enable_queue=True).launch(share=True)