Update app.py

app.py

@@ -4,7 +4,7 @@ path = Path()
 path.ls(file_exts='.pkl')
 learn_inf = load_learner(path/'export.pkl')
 labels = learn_inf.dls.vocab
-def on_click_classify(imgage):
+def on_click_classify(image):
      img = PILImage.create(image)
      pred,pred_idx,probs = learn_inf.predict(img)
      return {labels[i]: float(probs[i]) for i in range(len(labels))}