Model readded

app.py

@@ -11,7 +11,7 @@ def classify_image(im):
     _pred, _idx, probs = learner.predict(im)
     return dict(zip(categories, map(float, probs)))
 
-# create interface 
+# create interface
 
 im = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()

cat-dog-model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6895564ac917b0d8fd32f17774737e7fabb84fc19aa91473745a58fab6c89bbb
+size 47072377