deploy to hugging spaces

age.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ba6505d28b42296675328eb7c7e33eff07c7a36e14b146d6380a4a9769fd3e14
+size 87548395

app.py

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+from fastai.vision.all import *
+import gradio as gr
+import skimage
+
+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))}
+
+learn = load_learner('age.pkl')
+labels = learn.dls.vocab
+
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512,512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)

requirements.txt

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+fastai
+scikit-image