Add app.py

app.py

@@ -0,0 +1,29 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../pet-classifier-test.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+
+# %% ../pet-classifier-test.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+from huggingface_hub import hf_hub_download
+
+def is_cat(x): return x[0].isupper()
+
+# %% ../pet-classifier-test.ipynb 3
+learn = load_learner(hf_hub_download(repo_id='sledik/doggy-catty', filename='model.pkl'))
+
+# %% ../pet-classifier-test.ipynb 5
+categories = ('Dog', 'Cat')
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% ../pet-classifier-test.ipynb 7
+image = gr.Image()
+label = gr.Label()
+#examples = ['image-2.png', 'image-5.png', 'dog-puppy.jpg', 'German-Shepherd-dog-Alsatian.jpg.webp']
+examples = []
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)