achrafka / ttsfactor

ttsfactor

TTSFactor: A Django-based Text-to-Speech Application

Dynamic Text-to-Speech (TTS) web application built with Django and Python 3.12. Our application is designed to convert text into natural-sounding audio, offering a user-friendly interface for generating speech from written content. TTSFactor leverages advanced TTS technologies to provide high-quality audio outputs

Features

• Text-to-Speech Conversion: Convert any text into spoken words with a click of a button.
• Multiple Languages Support: Supports several languages, making it versatile for global use.
• Adjustable Voice Parameters: Users can adjust the speed, pitch, and volume of the speech output

Getting Started

These instructions will guide you through the setup process and get TTSFactor up and running on your local machine for development and testing purposes.

Prerequisites

Before you begin, ensure you have the following installed on your system:

• Python 3.12
• pip (Python package manager)
• Virtualenv (optional but recommended for creating isolated Python environments)

Installation

1- Clone the Repository

  git clone https://github.com/achrafka/ttsfactor.git
  cd ttsfactor

2- Set Up a Virtual Environment (Optional) using Virtualenv (or mkvirtualenv)

python3 -m venv ttsfactor-env
source ttsfactor-env/bin/activate

3- Install Dependencies

Install all the required packages using pip:

pip install -r requirements.txt

3- Run the Development Server

You can now run the development server to start the application:

python manage.py runserver

License

APACHE 2.0