create app.py

dog_cat_classifier/app.py

@@ -0,0 +1,33 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+
+# %% ../app.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+def is_cat(x): return x[:3] == 'cat'
+
+# %% ../app.ipynb 4
+learn = load_learner('model.pkl')
+
+# %% ../app.ipynb 6
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% ../app.ipynb 8
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['dog1.jpg', 'cat1.jpg', 'dog2.jpg']
+
+intf = gr.Interface(
+    fn=classify_image
+    , inputs=image
+    , outputs=label
+    , examples=examples
+)
+intf.launch(inline=False)