Google Translate Text-To-Speech

The google_text_to_speech package is a Python-based solution designed to provide versatile and user-friendly text-to-speech (TTS) capabilities. Leveraging the Google Translate TTS API, it enables users to convert written text into spoken words in various languages.

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├── clean_up_ws.sh
├── coverage.sh
├── docs
│   ├── conf.py
│   ├── index.rst
│   ├── make.bat
│   ├── Makefile
│   ├── prepare_plantuml.sh
│   ├── requirements.txt
│   ├── resources
│   │   └── LabSoft2.png
│   └── src
│       ├── architecture.md
│       └── user_stories.md
├── images
│   └── TransparentLogo.png
├── LICENSE
├── README.md
├── requirements.txt
├── setup.py
├── src
│   └── google_text_to_speech
│       ├── google_translate_tts.py
│       ├── __init__.py
│       └── _version.py
└── tests
    ├── test_google_translate_tts.py
    └── test-reports

8 directories, 20 files

Table of Contents

• Google Translate Text-To-Speech
  • Table of Contents
  • Installation
  • Quick Start
  • Features
  • Documentation and Reports
  • Contributing
  • License

Installation

pip install google_text_to_speech

Quick Start

from google_text_to_speech import play_tts

# Text to be converted to speech
text = "Hello World!"
language = "en"  # Language code (e.g., "en" for English)

# Calling the text-to-speech function
play_tts(text, language)

Features

• Multiple Language Support: Utilizes Google's TTS service to offer speech synthesis in numerous languages.
• Handling of Large Texts: Splits long texts into sentences to avoid limitations related to URL length and TTS service constraints.
• Real-Time Audio Playback: Converts text to speech in real-time, with the capability to play the audio immediately.

Documentation and Reports

• Documentation
• GitLab
• Pylint report
• Test coverage report
• The code quality report - Navigate to the Pipelines page, select the latest pipeline, and open the Code Quality tab.
• The test results report - Navigate to the Pipelines page, select the latest pipeline, and open the Tests tab.

Contributing

Contributions are welcome! Please read our Contributing Guidelines for more information.

License

This project is licensed under the MIT License.

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