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app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('export.pkl')
+
+def predict_image(img):
+    prediction, _, _ = learn.predict(img)
+    return prediction
+
+
+# UI huggface
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+intrfce = gr.Interface(fn=predict_image, inputs=image, outputs=label)
+intrfce.launch(inline=False)

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:67e42436ad581aa74e39f6112a4c5dd0a15ec853f9ec0b98f47b357b8575288f
+size 46972222