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Google Cloud Text-to-Speech API Python Samples

https://gstatic.com/cloudssh/images/open-btn.png

This directory contains samples for Google Cloud Text-to-Speech API. The `Google Cloud Text To Speech API`_ enables you to generate and customize synthesized speech from text or SSML.

Setup

Authentication

This sample requires you to have authentication setup. Refer to the Authentication Getting Started Guide for instructions on setting up credentials for applications.

Install Dependencies

  1. Clone python-docs-samples and change directory to the sample directory you want to use.

    $ git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git
  2. Install pip and virtualenv if you do not already have them. You may want to refer to the Python Development Environment Setup Guide for Google Cloud Platform for instructions.

  3. Create a virtualenv. Samples are compatible with Python 3.6+.

    $ virtualenv env
    $ source env/bin/activate
  4. Install the dependencies needed to run the samples.

    $ pip install -r requirements.txt

Samples

Quickstart

https://gstatic.com/cloudssh/images/open-btn.png

To run this sample:

$ python quickstart.py

List voices

https://gstatic.com/cloudssh/images/open-btn.png

To run this sample:

$ python list_voices.py

Synthesize text

https://gstatic.com/cloudssh/images/open-btn.png

To run this sample:

$ python synthesize_text.py


usage: synthesize_text.py [-h] (--text TEXT | --ssml SSML)

Google Cloud Text-To-Speech API sample application .

Example usage:
    python synthesize_text.py --text "hello"
    python synthesize_text.py --ssml "<speak>Hello there.</speak>"

optional arguments:
  -h, --help   show this help message and exit
  --text TEXT  The text from which to synthesize speech.
  --ssml SSML  The ssml string from which to synthesize speech.

Synthesize file

https://gstatic.com/cloudssh/images/open-btn.png

To run this sample:

$ python synthesize_file.py


usage: synthesize_file.py [-h] (--text TEXT | --ssml SSML)

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

optional arguments:
  -h, --help   show this help message and exit
  --text TEXT  The text file from which to synthesize speech.
  --ssml SSML  The ssml file from which to synthesize speech.

Audio profile

https://gstatic.com/cloudssh/images/open-btn.png

To run this sample:

$ python audio_profile.py


usage: audio_profile.py [-h] [--output OUTPUT] [--text TEXT]
                        [--effects_profile_id EFFECTS_PROFILE_ID]

Google Cloud Text-To-Speech API sample application for audio profile.

Example usage:
    python audio_profile.py --text "hello" --effects_profile_id
        "telephony-class-application" --output "output.mp3"

optional arguments:
  -h, --help            show this help message and exit
  --output OUTPUT       The output mp3 file.
  --text TEXT           The text from which to synthesize speech.
  --effects_profile_id EFFECTS_PROFILE_ID
                        The audio effects profile id to be applied.

The client library

This sample uses the Google Cloud Client Library for Python. You can read the documentation for more details on API usage and use GitHub to browse the source and report issues.