Source code for airflow.providers.google.cloud.example_dags.example_translate_speech

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import os
from datetime import datetime

from airflow import models
from airflow.providers.google.cloud.operators.text_to_speech import CloudTextToSpeechSynthesizeOperator
from airflow.providers.google.cloud.operators.translate_speech import CloudTranslateSpeechOperator

GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
BUCKET_NAME = os.environ.get("GCP_TRANSLATE_SPEECH_TEST_BUCKET", "INVALID BUCKET NAME")

# [START howto_operator_translate_speech_gcp_filename]
FILENAME = "gcp-speech-test-file"
# [END howto_operator_translate_speech_gcp_filename]

# [START howto_operator_text_to_speech_api_arguments]
INPUT = {"text": "Sample text for demo purposes"}
VOICE = {"language_code": "en-US", "ssml_gender": "FEMALE"}
AUDIO_CONFIG = {"audio_encoding": "LINEAR16"}
# [END howto_operator_text_to_speech_api_arguments]

# [START howto_operator_translate_speech_arguments]
CONFIG = {"encoding": "LINEAR16", "language_code": "en_US"}
AUDIO = {"uri": f"gs://{BUCKET_NAME}/{FILENAME}"}
TARGET_LANGUAGE = 'pl'
FORMAT = 'text'
MODEL = 'base'
SOURCE_LANGUAGE = None  # type: None
# [END howto_operator_translate_speech_arguments]


with models.DAG(
    "example_gcp_translate_speech",
    schedule_interval='@once',  # Override to match your needs
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=['example'],
) as dag:
    text_to_speech_synthesize_task = CloudTextToSpeechSynthesizeOperator(
        project_id=GCP_PROJECT_ID,
        input_data=INPUT,
        voice=VOICE,
        audio_config=AUDIO_CONFIG,
        target_bucket_name=BUCKET_NAME,
        target_filename=FILENAME,
        task_id="text_to_speech_synthesize_task",
    )
    # [START howto_operator_translate_speech]
    translate_speech_task = CloudTranslateSpeechOperator(
        project_id=GCP_PROJECT_ID,
        audio=AUDIO,
        config=CONFIG,
        target_language=TARGET_LANGUAGE,
        format_=FORMAT,
        source_language=SOURCE_LANGUAGE,
        model=MODEL,
        task_id='translate_speech_task',
    )
    translate_speech_task2 = CloudTranslateSpeechOperator(
        audio=AUDIO,
        config=CONFIG,
        target_language=TARGET_LANGUAGE,
        format_=FORMAT,
        source_language=SOURCE_LANGUAGE,
        model=MODEL,
        task_id='translate_speech_task2',
    )
    # [END howto_operator_translate_speech]
    text_to_speech_synthesize_task >> translate_speech_task >> translate_speech_task2