Update app.py

app.py

@@ -1,7 +1,38 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../Model into Production.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+
+# %% ../Model into Production.ipynb 1
+from fastai.vision.all import *
+
+# %% ../Model into Production.ipynb 2
 import gradio as gr
+from gradio import *
+from gradio.components import Image, Label
+
+# %% ../Model into Production.ipynb 3
+def is_cat(x): return x[0].issupper()
+
+# %% ../Model into Production.ipynb 5
+learn = load_learner('model.pkl')
+
+# %% ../Model into Production.ipynb 7
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% ../Model into Production.ipynb 9
+# Initialize the image input component with the specified shape
+image = Image()
+
+# Initialize the label output component without the 'type' argument
+label = Label()
+
+examples = ['dog.jpeg']
 
-def greet(name):
-    return "Hello " + name + "!!"
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf.launch(share=True)