updated dog vs cat classifier

app.py

@@ -1,7 +1,32 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_img']
+
+# %% app.ipynb 4
+from fastai.vision.all import *
+from fastbook import search_images_ddg, download_url
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
+
+# %% app.ipynb 8
+learn = load_learner('model.pkl')
+
+# %% app.ipynb 9
+learn.predict(im)
+
+# %% app.ipynb 10
+categories = ('Dog', 'Cat')
+
+def classify_img(img):
+  pred, idx, probs = learn.predict(img)
+  return dict(zip(categories, map(float, probs)))
+
+# %% app.ipynb 12
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['images/dog.jpg', 'images/cat.jpg', 'images/catdog.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

app_old.py

@@ -0,0 +1,7 @@
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()