Text2Speech Web Application Documentation

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Welcome to the Text2Speech Web Application TRIX. This project aims to provide a simple yet powerful tool for converting text to speech using Python, Flask, HTML, CSS, and JavaScript.

🚀 Quick Start

To get started with using the Text2Speech Web Application:

How To Run

  1. Install virtualenv:
$ pip install virtualenv
  1. Open a terminal in the project root directory and run:
$ virtualenv env
  1. Then run the command:
$ .\env\Scripts\activate
  1. Then install the dependencies:
$ (env) pip install -r requirements.txt
  1. Finally start the web server:
$ (env) python app.py

This server will start on port 5000 by default.

🎙️ Features

  • Input any text and convert it to speech.
  • The speech will be generated, !! remember for words > 1000 will take time upto 1 - 3 minutes.
  • Clear and intuitive user interface.
  • If you want you can Download the audio and delete the file after use it helps in ruuning server better 🙂.

💻 Technologies Used

  • Python: Programming language used for backend development.
  • Flask: Micro web framework for Python used for creating the web application.
  • HTML: Markup language for structuring the web pages.
  • CSS: Styling language for designing the appearance of the web pages.
  • JavaScript: Programming language used for client-side interactions.

📝 Usage

  1. Input Text: Enter the text you want to convert into speech in the provided text area.
  2. Click on the "Convert" button to generate the speech.
  3. Click on the "Play" button to listen to the generated speech.
  4. Click on the "Delete" button to delete the file.

🛠️ Contributing

Contributions are welcome! If you would like to contribute to this project, feel free to fork the repository and submit a pull request.

🔗 Explore Further

Visit the live demo of the Text2Speech Web Application here.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📧 Contact

For any inquiries or support, please contact pro.codenow@example.com.

Enjoy using the Text2Speech Web Application! 🎉