A text-to-speech conversion tool using Google Translate API
Project description
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.
.
├── 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
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.
Developed with ❤️ by
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