gradio interface for dog-cat classifier

app.py

@@ -1,7 +1,28 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../20220918_dog_cat_classifier_with_gradio.ipynb.
+
+# %% auto 0
+__all__ = ['learner', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+
+# %% ../20220918_dog_cat_classifier_with_gradio.ipynb 1
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!!"
+def is_cat(x): return x[0].isupper()
+
+# %% ../20220918_dog_cat_classifier_with_gradio.ipynb 4
+learner = load_learner('20220918_dogs_cats_model.pkl')
+
+# %% ../20220918_dog_cat_classifier_with_gradio.ipynb 6
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs = learner.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% ../20220918_dog_cat_classifier_with_gradio.ipynb 8
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog_01.jpeg', 'cat_01.jpeg', 'dunno_01.jpeg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)