Update app.py

app.py

@@ -191,7 +191,7 @@ def get_user_emb(embs, ys):
  print('ys are longer than embs; popping latest rating')
  ys.pop(-1)
  
- feature_embs = np.array(torch.stack([embs[i].squeeze().to('cpu') for i in indices]]).to('cpu'))
+ feature_embs = np.array(torch.stack([embs[i].squeeze().to('cpu') for i in indices]).to('cpu'))
  #scaler = preprocessing.StandardScaler().fit(feature_embs)
  #feature_embs = scaler.transform(feature_embs)
  chosen_y = np.array([ys[i] for i in indices])