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app2.py

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+import gradio as gr
+from fastai.vision.all import*
+
+learn = load_learner('model.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.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)
+

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e621fb1625231c9f4b3321dcb67c09bbcf39b88f3b533524458d59abe03db79a
+size 47064894