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docs: fix whisper_local indentations docstrings (#6209)

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* whisper_local indentations

* Update whisper_local.py

* fix param docstrings

---------

Co-authored-by: Massimiliano Pippi <mpippi@gmail.com>
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Daria Fokina 2023-11-08 18:15:39 +01:00 committed by GitHub
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1 changed files with 8 additions and 11 deletions
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19
haystack/preview/components/audio/whisper_local.py
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@ -36,12 +36,9 @@ class LocalWhisperTranscriber:
):
"""
:param model_name_or_path: Name of the model to use. Set it to one of the following values:
- `tiny`
- `small`
- `medium`
- `large`
- `large-v2`
:type model_name_or_path: Literal["tiny", "small", "medium", "large", "large-v2"]
:param device: Name of the torch device to use for inference. If None, CPU is used.
:type device: Optional[str]
"""
whisper_import.check()
if model_name_or_path not in get_args(WhisperLocalModel):
@ -78,8 +75,8 @@ class LocalWhisperTranscriber:
[Whisper API documentation](https://platform.openai.com/docs/guides/speech-to-text) and the official Whisper
[github repo](https://github.com/openai/whisper).
:param audio_files: a list of paths or binary streams to transcribe
:returns: a list of Documents, one for each file. The content of the document is the transcription text,
:param audio_files: A list of paths or binary streams to transcribe.
:returns: A list of Documents, one for each file. The content of the document is the transcription text,
while the document's metadata contains all the other values returned by the Whisper model, such as the
alignment data. Another key called `audio_file` contains the path to the audio file used for the
transcription.
@ -101,8 +98,8 @@ class LocalWhisperTranscriber:
[Whisper API documentation](https://platform.openai.com/docs/guides/speech-to-text) and the official Whisper
[github repo](https://github.com/openai/whisper).
:param audio_files: a list of paths or binary streams to transcribe
:returns: a list of Documents, one for each file. The content of the document is the transcription text,
:param audio_files: A list of paths or binary streams to transcribe.
:returns: A list of Documents, one for each file. The content of the document is the transcription text,
while the document's metadata contains all the other values returned by the Whisper model, such as the
alignment data. Another key called `audio_file` contains the path to the audio file used for the
transcription.
@ -125,8 +122,8 @@ class LocalWhisperTranscriber:
[Whisper API documentation](https://platform.openai.com/docs/guides/speech-to-text) and the official Whisper
[github repo](https://github.com/openai/whisper).
:param audio_files: a list of paths or binary streams to transcribe
:returns: a list of transcriptions.
:param audio_files: A list of paths or binary streams to transcribe.
:returns: A list of transcriptions.
"""
return_segments = kwargs.pop("return_segments", False)
transcriptions = []