Real-time Speech and Text Translation 🗣️➡️📜

This is a web application that provides real-time speech and text translation. It combines a Python backend using the Flask framework with a JavaScript frontend to capture audio, translate spoken words into text, and display the results.

✨ Features

• Real-time Speech-to-Text: Captures audio input from a microphone and converts it into text.
• Live Text Translation: Translates the recognized text into another language.
• Web-based Interface: A user-friendly, responsive interface built with HTML, CSS, and JavaScript.
• Modular Design: The project is organized into separate files for different functionalities, such as speech processing (speech.py), translation (translate.py), and the main application logic (app.py).

⚙️ Technologies Used

• Python: The core language for the backend.
• Flask: A micro web framework for the backend server.
• SpeechRecognition: A library to perform speech recognition with support for various engines and APIs.
• Googletrans: A Python library for translating text using the Google Translate API.
• JavaScript: The scripting language for the frontend, handling user interactions and API calls.
• HTML & CSS: Used to structure and style the web application's interface.

🚀 Getting Started

Prerequisites

You need Python 3.x and pip installed on your system.

Installation

1. Clone the repository:

   git clone [https://github.com/YOUR_USERNAME/your-repo-name.git](https://github.com/YOUR_USERNAME/your-repo-name.git)
   cd your-repo-name

2. Set up the Python environment: It's recommended to create a virtual environment.

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the necessary Python libraries:

   pip install Flask SpeechRecognition googletrans==4.0.0-rc1

   Note: The specific version of googletrans is recommended for stability.

Usage

1. Run the Flask application:

   python app.py

2. Access the web application: Open your web browser and navigate to http://127.0.0.1:5000. The interface will be displayed, and you can begin speaking into your microphone to see the real-time translation.

📄 License

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

🤝 Contribution

Contributions are welcome! If you find a bug or have an idea for an improvement, please open an issue or submit a pull request.

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Note: This project relies on external APIs (like Google Translate), so an active internet connection is required for full functionality.