input: 
  def predict_next_stock_price(prev_prices, model):
      """ Given a list of previous stock prices and a pre-compiled Keras model,
      predict the next day's stock price.
      >>> predict_next_stock_price([10, 10.4, 10.5, 10.6, 10.7, 10.9, 11], create_model())
      11.0
      """
      input_data = np.array([prev_prices])
      predictions = model.predict(input_data)
      return predictions[0][0]
  
output:     import numpy as np