text: from runtime import SmartReplyRuntime
  
  #create SmartReplyRuntime() object, you can specify your own model path as an argument, or default provided 
  #model will be used, ex : SmartReplyRuntime('mymodel.tflite')
  rt = SmartReplyRuntime()
  
  #Prediction on a single string
  single = rt.predict("hi")
  print(single)
  
  #Prediction on multiple strings, runs in a loop
  multi = rt.predictMultiple(["hello", "i am happy", "great"])
  print(multi)
  
  #Prediction on multiple strings, exploits batching capability of tflite
  multiBatch = rt.predictMultiple(["hello", "i am happy", "see me tomorrow"], batch = True)
  print(multiBatch)
  