AI Translator

Table of Contents

• Introduction
• Features
• Technologies Used
• Installation
• Usage
• API Endpoints
• Contributing

Introduction

The AI Translator Application is a powerful and user-friendly tool that leverages the T5 large language model, trained with 223 million parameters, to provide high-quality translations. The backend is built using Flask and the HuggingFace Transformers pipeline, while the frontend is a React application styled with Tailwind CSS and DaisyUI.

Features

• High-Quality Translations: Powered by the T5 large language model.
• RESTful API: Easy integration with other applications.
• Modern Frontend: Built with React, Tailwind CSS, and DaisyUI for a seamless user experience.
• Scalable: Designed to handle multiple requests efficiently.

Technologies Used

Backend:

• Flask
• Transformers Pipeline (HuggingFace)
• T5 Large Language Model

Frontend:

• React
• Tailwind CSS
• DaisyUI

Installation

Prerequisites

• Python (tested on 3.12)
• Node.js (tested on 22.5.1)

Backend Setup

1. Fork the repository.

2. Clone the repository:

   git clone https://github.com/your-username/AI_Translator.git
   cd AI_Translator/backend
   

3. Create and activate a virtual environment:

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

4. Install the required packages:

   pip install -r requirements.txt
   

5. Start the Flask server:

   flask run
   

Frontend Setup

1. Navigate to the frontend directory:

   cd ../frontend
   

2. Install the dependencies:

   npm install
   

3. Start the React application:

   npm start
   

Usage

• Open your browser and navigate to http://localhost:3000 to use the frontend application.
• Use the provided API endpoints for integrating the translation backend into other applications.

API Endpoints

Translate Text

• Endpoint: /
• Method: POST
• Request Body:

  {
      "task": "translation_en_to_fr",
      "prompt": "Hello!"
  }
  

• Response:

  {
      "response": "Bonjour!"
  }
  

Contributing

Contributions are welcome! Please fork this repository and submit a pull request for any enhancements, bug fixes, or new features.

Demo