uploading app.py with all images and my model

app.py

@@ -1,7 +1,31 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: testnbdev.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'iface', 'is_cat', 'classify_image']
+
+# %% testnbdev.ipynb 34
+learn = load_learner("model.pkl") 
+
+# %% testnbdev.ipynb 53
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper() 
+
+# %% testnbdev.ipynb 57
+learn = load_learner("model.pkl") 
+
+# %% testnbdev.ipynb 65
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+  pred,idx,probs = learn.predict(img)
+  return dict(zip(categories, map(float,probs))) # need to understand this line. 
+
+# %% testnbdev.ipynb 67
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ["cat.jpg", "dog.jpg", "grizzlybear.jpg", "box.jpg", "boxes.jpg", "dog_and_cat.jpg", "dog_and_cat2.jpg", "dog_and_cat3.png"]
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface.launch()