input: from typing import List, Any
  
  def predict(data: List[Any]) -> Any:
      """ Predict the class label of a given set of data with 4 features: Length, Width, Height and Weight.
      This function loads a pre-trained DecisionTreeClassifier model and predicts the label based on provided data.
      >>> predict([10, 20, 30, 40])
      'Label'
      >>> predict([5, 15, 25, 35])
      'AnotherLabel'
      """
output:     from sklearn.tree import DecisionTreeClassifier
      import joblib
  
      model = joblib.load('model.pkl')
      prediction = model.predict([data])
      return prediction[0]