Initial commit 2

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('bears_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="image",outputs="label").launch()

bears_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:eb11037b4d1b03a02ec003ed4e68890d2a4f454ff1577d8192b871d906b6b6ea
+size 46975102

requirements.txt

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+fastai