Added app.py and pkl file

app.py

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+import gradio as gr
+import fastai
+from fastai.vision.all import *
+
+learn = load_learner('export-2.pkl')
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+gr.Interface(fn=predict, inputs=gr.Image(type='pil'), outputs=gr.Label(num_top_classes=3)).launch(share=True)
+

export-2.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4af169d6f0c609a15f7e1f29443f29bff6b5a41cd0e98787cfc2ac6ff2bf4ddc
+size 102921887