def createTrainingMatrices(conversationFile, wList, maxLen):
convDict = np.load(conversationFile).item()
examples = len(convDict)
xTrain = np.zeros((examples, maxLen), dtype = "int32")
yTrain = np.zeros((examples, maxLen), dtype = "int32")
for index,(key, value) in enumerate(convDict.iteritems()):
encoderMessage = np.full((maxLen), wList.index("<pad>"))
decoderMessage = np.full((maxLen), wList.index("<pad>"))
keySplit = key.split()
valSplit = value.split()