AI Translator

A modern, responsive web application for text translation built with Flask and DeepL.

Features

• Real-time Translation: Translate text instantly between multiple languages.
• Modern UI: Clean, responsive interface with dark mode support.
• Language Detection: Automatically detects the source language.
• Pronunciation: Text-to-Speech (TTS) functionality to hear the translation.
• Error Handling: Graceful error messages and loading states.

Tech Stack

• Backend: Python 3.10+, Flask
• Translation: deep-translator (Google Translate)
• Frontend: HTML5, CSS3, JavaScript (Vanilla)
• Icons: Font Awesome

Installation

1. Clone the repository (or download the source code).

2. Create a virtual environment (recommended):

   python -m venv venv
   venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

Usage

1. Run the application:

   python app.py

2. Access the app: Open your browser and navigate to http://[IP_ADDRESS].

Project Structure

AI-translator/
├── app.py              # Flask application entry point
├── requirements.txt    # Project dependencies
├── templates/
│   └── index.html      # Main HTML template
└── static/
    ├── css/
    │   └── style.css   # Stylesheets
    └── js/
        └── script.js   # Frontend logic

License

MIT