app.py in correct folder

app.py

@@ -0,0 +1,24 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../dogvcat_test.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% ../dogvcat_test.ipynb 2
+learn = load_learner('model.pkl')
+
+# %% ../dogvcat_test.ipynb 4
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    #format the output of learn.predict. dict creates dictionary, zip associates the labels with the probabilities and map converts the tensor into a float
+    return dict(zip(categories, map(float,probs)))
+
+# %% ../dogvcat_test.ipynb 6
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['dog.jpeg', 'cat.jpg', 'dunno.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+