add project files

app.py

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+__all__ = ['learn', 'clasify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+from fastai.vision.all import *
+import gradio as gr
+
+# Cell
+learn = load_learner('export.pkl')
+
+# Cell
+categories = ('Beagle', 'Bulldog', 'Dachshund', 'French Bulldog', 'German Shepherd', 'German Shorthaired Pointer', 'Golden Retriever', 'Labrador Retriever', 'Poodle', 'Rottweiler')
+
+# Cell
+def classify_image(img):
+	pred,idx,probs = learn.predict(img)
+	return dict(zip(categories, map(float,probs)))
+
+# Cell
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['Beagle.jpg', 'Bulldog.jpg', 'Dachshund.jpg', 'French Bulldog.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outpus=label, examples=examples)
+intf.launch(inline=False)

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:11d9c1082f22492f5d81fb795c2bd9f6b5bc2bfa63413856ec94b30b13e5797f
+size 46985697