airflow.providers.google.cloud.operators.translate_speech

This module contains a Google Cloud Translate Speech operator.

Module Contents

Classes

CloudTranslateSpeechOperator

Recognizes speech in audio input and translates it.

class airflow.providers.google.cloud.operators.translate_speech.CloudTranslateSpeechOperator(*, audio, config, target_language, format_, source_language, model, project_id=PROVIDE_PROJECT_ID, gcp_conn_id='google_cloud_default', impersonation_chain=None, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Recognizes speech in audio input and translates it.

Note that it uses the first result from the recognition api response - the one with the highest confidence In order to see other possible results please use CloudSpeechToTextRecognizeSpeechOperator and CloudTranslateTextOperator separately

See also

For more information on how to use this operator, take a look at the guide: CloudTranslateSpeechOperator

See https://cloud.google.com/translate/docs/translating-text

Execute method returns string object with the translation

This is a list of dictionaries queried value. Dictionary typically contains three keys (though not all will be present in all cases).

  • detectedSourceLanguage: The detected language (as an ISO 639-1 language code) of the text.

  • translatedText: The translation of the text into the target language.

  • input: The corresponding input value.

  • model: The model used to translate the text.

Dictionary is set as XCom return value.

Parameters
template_fields: Sequence[str] = ('target_language', 'format_', 'source_language', 'model', 'project_id', 'gcp_conn_id',...[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

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