class_docstr: Class wrapping a DeepSpeech stream. The constructor cannot be called directly.
  Use :func:`Model.createStream()`
docstr: Feed audio samples to an ongoing streaming inference.
  
  :param audio_buffer: A 16-bit, mono raw audio signal at the appropriate sample rate (matching what the model was trained on).
  :type audio_buffer: numpy.int16 array
  
  :throws: RuntimeError if the stream object is not valid
docstr_tok: ["Feed","audio","samples","to","an","ongoing","streaming","inference",".",":","param","audio_buffer",":","A","16-bit",",","mono","raw","audio","signal","at","the","appropriate","sample","rate","(","matching","what","the","model","was","trained","on",")",".",":","type","audio_buffer",":","numpy.int16","array",":","throws",":","RuntimeError","if","the","stream","object","is","not","valid"]
code: def feedAudioContent(self, audio_buffer):
      """
      Feed audio samples to an ongoing streaming inference.
  
      :param audio_buffer: A 16-bit, mono raw audio signal at the appropriate sample rate (matching what the model was trained on).
      :type audio_buffer: numpy.int16 array
  
      :throws: RuntimeError if the stream object is not valid
      """
      if not self._impl:
          raise RuntimeError(
              "Stream object is not valid. Trying to feed an already finished stream?"
          )
      deepspeech.impl.FeedAudioContent(self._impl, audio_buffer)
  
imports: import os
  import platform
  import deepspeech
  from deepspeech.impl import Version
label_desc: Use image node_id 3 for calling the Stream obj's underlying member method code with example usage: obj.feedAudioContent(audio_buffer) without return types