Create app.py

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner("hs_classifier.pkl")
+
+categories = "handbag", "shoe"
+
+def classify_image(img):
+  _,_,probs = learn.predict(img)
+  return dict(
+      zip(categories, map(float, probs))
+  )
+
+image = gr.Image()
+label = gr.Label()
+
+interface =gr.Interface(fn = classify_image, 
+                        inputs=image, 
+                        outputs=label)
+
+interface.launch()