initial commit with all files

app.py

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+__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+from fastai.vision.all import *
+import gradio as gr
+import timm
+
+learn = load_learner('pets_model.pkl')
+
+categories = learn.dls.vocab
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['havanese.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()

pets_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:572bc9988da035ea3da95ae4420cf6ef7d2cc8799eaca9953a44a0a5f7dd92ae
+size 114806350

requirements.txt

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+fastai==2.7.12
+gradio==3.34.0
+timm==0.9.2
+torch==2.0.1
+torchvision==0.15.2