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: RecognitionConfig | None = None, config_mask: FieldMask | None = None)[source]#
Deprecated since version 0.0.32: Use
langchain_google_community.SpeechToTextLoader
instead.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-speech
python 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
Initializes the GoogleSpeechToTextLoader.
- Parameters:
project_id (str) β Google Cloud Project ID.
file_path (str) β A Google Cloud Storage URI or a local file path.
location (str) β Speech-to-Text recognizer location.
recognizer_id (str) β Speech-to-Text recognizer id.
config (Optional[RecognitionConfig]) β 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]) β The list of fields in config that override the values in the
default_recognition_config
of 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,Β file_path[,Β location,Β ...])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: RecognitionConfig | None = None, config_mask: FieldMask | None = None)[source]#
Initializes the GoogleSpeechToTextLoader.
- Parameters:
project_id (str) β Google Cloud Project ID.
file_path (str) β A Google Cloud Storage URI or a local file path.
location (str) β Speech-to-Text recognizer location.
recognizer_id (str) β Speech-to-Text recognizer id.
config (Optional[RecognitionConfig]) β 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]) β The list of fields in config that override the values in the
default_recognition_config
of 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: TextSplitter | None = 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]) β TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
- Returns:
List of Documents.
- Return type:
List[Document]