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44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
import deepspeech
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# rename for backwards compatibility
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from deepspeech.impl import AudioToInputVector as audioToInputVector
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from deepspeech.impl import PrintVersions as printVersions
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class Model(object):
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def __init__(self, *args, **kwargs):
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# make sure the attribute is there if CreateModel fails
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self._impl = None
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status, impl = deepspeech.impl.CreateModel(*args, **kwargs)
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if status != 0:
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raise RuntimeError("CreateModel failed with error code {}".format(status))
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self._impl = impl
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def __del__(self):
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if self._impl:
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deepspeech.impl.DestroyModel(self._impl)
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self._impl = None
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def enableDecoderWithLM(self, *args, **kwargs):
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return deepspeech.impl.EnableDecoderWithLM(self._impl, *args, **kwargs)
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def stt(self, *args, **kwargs):
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return deepspeech.impl.SpeechToText(self._impl, *args, **kwargs)
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def setupStream(self, pre_alloc_frames=150, sample_rate=16000):
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status, ctx = deepspeech.impl.SetupStream(self._impl,
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aPreAllocFrames=pre_alloc_frames,
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aSampleRate=sample_rate)
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if status != 0:
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raise RuntimeError("SetupStream failed with error code {}".format(status))
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return ctx
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def feedAudioContent(self, *args, **kwargs):
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deepspeech.impl.FeedAudioContent(*args, **kwargs)
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def intermediateDecode(self, *args, **kwargs):
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return deepspeech.impl.IntermediateDecode(*args, **kwargs)
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def finishStream(self, *args, **kwargs):
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return deepspeech.impl.FinishStream(*args, **kwargs)
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