class_docstr: Class holding a DeepSpeech model
  
  :param aModelPath: Path to model file to load
  :type aModelPath: str
docstr: Create a new streaming inference state. The streaming state returned by
  this function can then be passed to :func:`feedAudioContent()` and :func:`finishStream()`.
  
  :return: Stream object representing the newly created stream
  :type: :func:`Stream`
  
  :throws: RuntimeError on error
docstr_tok: ["Create","a","new","streaming","inference","state",".","The","streaming","state","returned","by","this","function","can","then","be","passed","to",":","func",":","`","feedAudioContent","(",")","`","and",":","func",":","`","finishStream","(",")","`",".",":","return",":","Stream","object","representing","the","newly","created","stream",":","type",":",":","func",":","`","Stream","`",":","throws",":","RuntimeError","on","error"]
code: def createStream(self):
      """
      Create a new streaming inference state. The streaming state returned by
      this function can then be passed to :func:`feedAudioContent()` and :func:`finishStream()`.
  
      :return: Stream object representing the newly created stream
      :type: :func:`Stream`
  
      :throws: RuntimeError on error
      """
      status, ctx = deepspeech.impl.CreateStream(self._impl)
      if status != 0:
          raise RuntimeError(
              "CreateStream failed with '{}' (0x{:X})".format(
                  deepspeech.impl.ErrorCodeToErrorMessage(status),
                  status,
              )
          )
      return Stream(ctx)
  
imports: import os
  import platform
  import deepspeech
  from deepspeech.impl import Version
label_desc: Use image node_id 14 for calling the Model obj's underlying member method code with example usage: obj.createStream() and returns: Stream