text: #
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  # distributed with this work for additional information
  # regarding copyright ownership.  The ASF licenses this file
  # to you under the Apache License, Version 2.0 (the
  # "License"); you may not use this file except in compliance
  # with the License.  You may obtain a copy of the License at
  #
  #   http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing,
  # software distributed under the License is distributed on an
  # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  # KIND, either express or implied.  See the License for the
  # specific language governing permissions and limitations
  # under the License.
  
  import os
  
  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
  from airflow.utils import dates
  
  GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
  BUCKET_NAME = os.environ.get("GCP_TRANSLATE_SPEECH_TEST_BUCKET", "gcp-translate-speech-test-bucket")
  
  # [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": "gs://{bucket}/{object}".format(bucket=BUCKET_NAME, object=FILENAME)}
  TARGET_LANGUAGE = 'pl'
  FORMAT = 'text'
  MODEL = 'base'
  SOURCE_LANGUAGE = None  # type: None
  # [END howto_operator_translate_speech_arguments]
  
  default_args = {"start_date": dates.days_ago(1)}
  
  with models.DAG(
      "example_gcp_translate_speech",
      default_args=default_args,
      schedule_interval=None,  # Override to match your needs
      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
  