Adding files for Deploying gradio app to Huggingface spaces

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'interface', 'predict']
+
+# %% app.ipynb 3
+from fastai.vision.all import *
+import gradio as gr
+
+# %% app.ipynb 4
+learn = load_learner('lamborghini_vs_mercedes_model.pkl')
+
+# %% app.ipynb 5
+categories = ('lamborghini', 'mercedes')
+
+def predict(img):
+    pred, idx, prob = learn.predict(img)
+    return dict(zip(categories, map(float, prob)))
+
+# %% app.ipynb 7
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+
+interface = gr.Interface(fn=predict, inputs=image, outputs=label, examples=['lambo1.jpg', 'mercedes1.jpg'])
+interface.launch(inline=False)

lamborghini_vs_mercedes_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e4a96000b7bbf849199c085219e9b2e4fb52c7855b9e1f0c8fd1009f9207084f
+size 87463535