synthesize_file.py

#!/usr/bin/env python
# Copyright 2018 Google LLC
#
# Licensed 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.
#
# All Rights Reserved.

"""Google Cloud Text-To-Speech API sample application .

Example usage:
    python synthesize_file.py --text resources/hello.txt
    python synthesize_file.py --ssml resources/hello.ssml
"""

import argparse


# [START tts_synthesize_text_file]
def synthesize_text_file(text_file):
    """Synthesizes speech from the input file of text."""
    from google.cloud import texttospeech

    client = texttospeech.TextToSpeechClient()

    with open(text_file, "r") as f:
        text = f.read()
        input_text = texttospeech.SynthesisInput(text=text)

    # Note: the voice can also be specified by name.
    # Names of voices can be retrieved with client.list_voices().
    voice = texttospeech.VoiceSelectionParams(
        language_code="en-US", ssml_gender=texttospeech.SsmlVoiceGender.FEMALE
    )

    audio_config = texttospeech.AudioConfig(
        audio_encoding=texttospeech.AudioEncoding.MP3
    )

    response = client.synthesize_speech(
        request={"input": input_text, "voice": voice, "audio_config": audio_config}
    )

    # The response's audio_content is binary.
    with open("output.mp3", "wb") as out:
        out.write(response.audio_content)
        print('Audio content written to file "output.mp3"')


# [END tts_synthesize_text_file]


# [START tts_synthesize_ssml_file]
def synthesize_ssml_file(ssml_file):
    """Synthesizes speech from the input file of ssml.

    Note: ssml must be well-formed according to:
        https://www.w3.org/TR/speech-synthesis/
    """
    from google.cloud import texttospeech

    client = texttospeech.TextToSpeechClient()

    with open(ssml_file, "r") as f:
        ssml = f.read()
        input_text = texttospeech.SynthesisInput(ssml=ssml)

    # Note: the voice can also be specified by name.
    # Names of voices can be retrieved with client.list_voices().
    voice = texttospeech.VoiceSelectionParams(
        language_code="en-US", ssml_gender=texttospeech.SsmlVoiceGender.FEMALE
    )

    audio_config = texttospeech.AudioConfig(
        audio_encoding=texttospeech.AudioEncoding.MP3
    )

    response = client.synthesize_speech(
        input=input_text, voice=voice, audio_config=audio_config
    )

    # The response's audio_content is binary.
    with open("output.mp3", "wb") as out:
        out.write(response.audio_content)
        print('Audio content written to file "output.mp3"')


# [END tts_synthesize_ssml_file]


if __name__ == "__main__":
    parser = argparse.ArgumentParser(
        description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
    )
    group = parser.add_mutually_exclusive_group(required=True)
    group.add_argument("--text", help="The text file from which to synthesize speech.")
    group.add_argument("--ssml", help="The ssml file from which to synthesize speech.")

    args = parser.parse_args()

    if args.text:
        synthesize_text_file(args.text)
    else:
        synthesize_ssml_file(args.ssml)