adding model and demo to git

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4de02508181dd6e8c9b4c5d29e9e737b1c9f10557b9d267f5a18a2c0b21e87aa
+size 103040701

gradio-demo.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('export.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))}
+
+demo = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3))
+
+demo.launch()

requirements.txt

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+fastai
+scikit-image