text: import pickle
  import sklearn
  
  def call_score(data):
      pkl_file = 'fake.pkl'
      with open(pkl_file, 'rb') as f:
          model = pickle.load(f)
  
      # here is where you would mirror pre-processing from when you built the model
      prediction = model.predict(data)
      return prediction
  