Initial project, with examples.

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('model.pkl')
+
+labels = learn.dls.vocab
+examples = ['avocado.png', 'hand.png', 'papaya.png']
+
+
+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.components.Image(shape=(512, 512)),
+             outputs=gr.components.Label(num_top_classes=3),
+             examples=examples
+             ).launch(share=True)
+

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b69c9c0784463ce2720c6465b6d6a4c5fe8aea5d52fa1f2bd6edb809e7a15ed0
+size 46958105