Attempt to important fastai learner

app.py.3ec09d1ad4059228116e1fb9e618c954.tmp

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+__all__ = ['learn','classify_image','categories','image','label','examples','intf']
+
+from huggingface_hub import hf_hub_download
+from fastai.learner import *
+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+categories = ('airbaby','airchair','airflare','headspin','hollow back')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['air_chair.jpg','hollowback.jpeg','airbaby.jpeg','airflare.jpeg','headspin.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)