langchain_community.document_loaders.google_speech_to_text.GoogleSpeechToTextLoader¶
- class langchain_community.document_loaders.google_speech_to_text.GoogleSpeechToTextLoader(project_id: str, file_path: str, location: str = 'us-central1', recognizer_id: str = '_', config: Optional[RecognitionConfig] = None, config_mask: Optional[FieldMask] = None)[source]¶
[Deprecated] Loader for Google Cloud Speech-to-Text audio transcripts.
It uses the Google Cloud Speech-to-Text API to transcribe audio files and loads the transcribed text into one or more Documents, depending on the specified format.
To use, you should have the
google-cloud-speechpython package installed.Audio files can be specified via a Google Cloud Storage uri or a local file path.
For a detailed explanation of Google Cloud Speech-to-Text, refer to the product documentation. https://cloud.google.com/speech-to-text
Notes
Deprecated since version 0.0.32.
Initializes the GoogleSpeechToTextLoader.
- Parameters
project_id (str) – Google Cloud Project ID.
file_path (str) – A Google Cloud Storage URI or a local file path.
location (str) – Speech-to-Text recognizer location.
recognizer_id (str) – Speech-to-Text recognizer id.
config (Optional[RecognitionConfig]) – Recognition options and features. For more information: https://cloud.google.com/python/docs/reference/speech/latest/google.cloud.speech_v2.types.RecognitionConfig
config_mask (Optional[FieldMask]) – The list of fields in config that override the values in the
default_recognition_configof the recognizer during this recognition request. For more information: https://cloud.google.com/python/docs/reference/speech/latest/google.cloud.speech_v2.types.RecognizeRequest
Methods
__init__(project_id, file_path[, location, ...])Initializes the GoogleSpeechToTextLoader.
A lazy loader for Documents.
aload()Load data into Document objects.
A lazy loader for Documents.
load()Transcribes the audio file and loads the transcript into documents.
load_and_split([text_splitter])Load Documents and split into chunks.
- __init__(project_id: str, file_path: str, location: str = 'us-central1', recognizer_id: str = '_', config: Optional[RecognitionConfig] = None, config_mask: Optional[FieldMask] = None)[source]¶
Initializes the GoogleSpeechToTextLoader.
- Parameters
project_id (str) – Google Cloud Project ID.
file_path (str) – A Google Cloud Storage URI or a local file path.
location (str) – Speech-to-Text recognizer location.
recognizer_id (str) – Speech-to-Text recognizer id.
config (Optional[RecognitionConfig]) – Recognition options and features. For more information: https://cloud.google.com/python/docs/reference/speech/latest/google.cloud.speech_v2.types.RecognitionConfig
config_mask (Optional[FieldMask]) – The list of fields in config that override the values in the
default_recognition_configof the recognizer during this recognition request. For more information: https://cloud.google.com/python/docs/reference/speech/latest/google.cloud.speech_v2.types.RecognizeRequest
- async alazy_load() AsyncIterator[Document]¶
A lazy loader for Documents.
- Return type
AsyncIterator[Document]
- load() List[Document][source]¶
Transcribes the audio file and loads the transcript into documents.
It uses the Google Cloud Speech-to-Text API to transcribe the audio file and blocks until the transcription is finished.
- Return type
List[Document]
- load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document]¶
Load Documents and split into chunks. Chunks are returned as Documents.
Do not override this method. It should be considered to be deprecated!
- Parameters
text_splitter (Optional[TextSplitter]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
- Returns
List of Documents.
- Return type
List[Document]