my first time to use huggingface

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: 3.GardioTest.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+
+# %% 3.GardioTest.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+def is_cat(x): return x[0].isupper()
+
+# %% 3.GardioTest.ipynb 3
+learn = load_learner('model.pkl')
+
+# %% 3.GardioTest.ipynb 5
+categories = ('Dog','Cat')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+# %% 3.GardioTest.ipynb 7
+image = gr.Image(height=192,width=192)
+label = gr.Label()
+examples=['dog.jpg','cat.jpg','dunno.jpg']
+
+intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
+intf.launch(inline=False)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:990e3f44d4b54f682ad24153ca04d33f02e0e8788e5fc9bc790e662599fa2c27
+size 47069758