text: import pickle
  import numpy as np
  import matplotlib.pylab as plt
  
  with open('trained.pkl', 'rb') as file:
  	nn = pickle.load(file)
  
  fname = "test_images/" + "test4.jpg"
  image = plt.imread(fname)
  image = image.reshape(1, -1)
  # image = image/255
  
  co = np.zeros((1, 10))
  co[0][8] = 1
  
  my_predicted_image = nn.predict(image.T, co)
  print("mpi", my_predicted_image)