input: Write a python function to create a confusion matrix from given true labels and predicted labels.
  assert create_confusion_matrix([1,0,1,1,0,0,1], [1,0,0,1,0,1,1]).tolist() == [[2, 1], [1, 3]]
  assert create_confusion_matrix([0,0,1,1], [0,1,0,1]).tolist() == [[1, 1], [1, 1]]
  assert create_confusion_matrix([1,1,1,0,0], [1,1,0,0,0]).tolist() == [[2, 0], [1, 2]]
output: def create_confusion_matrix(true_labels, pred_labels):
      import numpy as np
      from sklearn.metrics import confusion_matrix
      
      cm = confusion_matrix(true_labels, pred_labels)
      return np.array(cm)