fix2

app.py

@@ -1,49 +1,52 @@
-
 # %% [markdown]
 # Dogs vs Cats
 
 # %%
-#|default_exp app
+# |default_exp app
 # !pip install gradio
 
 # %%
-#|export
+# |export
 from fastai.vision.all import *
 import gradio as gr
 
-def is_cat(x): return x[0].isupper()
+
+def is_cat(x):
+    return x[0].isupper()
+
 
 # %%
-im = PILImage.create('dog.jpg')
-im.thumbnail((192,192))
+im = PILImage.create("dog.jpg")
+im.thumbnail((192, 192))
 im
 
 # %%
-#|export
+# |export
 
 learn = load_learner("model.pkl")
 
 # %%
-%time learn.predict(im)
+# %time learn.predict(im)
+learn.predict(im)
 
 # %%
-#|export
-categories = ('Dog', 'Cat')
+# |export
+categories = ("Dog", "Cat")
+
 
 def classify_image(img):
-    pred,idx,probs = learn.predict(img)
+    pred, idx, probs = learn.predict(img)
     return dict(zip(categories, map(float, probs)))
 
+
 # %%
 classify_image(im)
 
 # %%
-#|export
-image = gr.inputs.Image(shape=(192,192))
+# |export
+image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
-examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
+examples = ["dog.jpg", "cat.jpg", "dunno.jpg"]
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=False)
-
-