input: Write a function to load a classifier model using pickle and classify given text data.
  assert classify_text('This is a test text.') in [0, 1]
  assert classify_text('Another example text.') in [0, 1]
  assert classify_text('More sample data for testing.') in [0, 1]
output: def classify_text(text):
      import pickle
      # Load the classifier model
      with open('classifier_model.pkl', 'rb') as file:
          classifier = pickle.load(file)
      
      # Assuming the classifier expects a list of texts for classification
      prediction = classifier.predict([text])
      
      return prediction[0]