WaiswaJBryans/English-to-luganda-translator-api

Translate any english text or sentence to luganda using this api that uses google gemini-2.0-flash  # English → Luganda Translator API A lightweight and efficient **serverless translation API** built using **LangChain**, **Google Gemini (Generative AI)**, and **Vercel**. It translates English text into **Luganda** through a simple POST request. --- ## Features - **English → Luganda translation** using Google Gemini 2.0 Flash - **Built with LangChain** prompt templates for better control - **Serverless deployment** via Vercel - **Secure API key management** using environment variables - **JSON-based REST API** for easy integration with web and mobile apps --- ## Project Structure translator-app/ │ ├── api/ │ └── translator.js # Main serverless API endpoint │ ├── package.json # Project dependencies ├── .env # Environment variables (not uploaded) ├── .gitignore # Ignore node_modules, .env, etc. └── README.md # Documentation --- ## Tech Stack | Component | Technology | |------------|-------------| | Backend Runtime | Node.js | | Framework | LangChain Core | | AI Model | Google Gemini 2.0 Flash | | Deployment | Vercel Serverless Functions | | Language | JavaScript (ES Modules) | --- ## Installation & Setup ### 1 Clone the Repository ```bash git clone github.com cd translator-app ``` ##3 2 Install Dependencies ```bash npm install ``` ### 3 Add Environment Variables Create a .env file in your project root: ``` GOOGLE_API_KEY=your_google_api_key_here ``` API Usage Endpoint ``` POST /api/translator ``` Request Headers ``` { "Content-Type": "application/json" } ``` Request Body ``` { "text": "Good morning, how are you?" } ``` Example cURL Command ``` curl -X POST translator-app.vercel.app \ -H "Content-Type: application/json" \ -d '{"text":"Good morning"}' ``` Sample Response ``` { "success": true, "translation": "Wasuze otya nno" } ``` ### Code Overview The core logic uses LangChai …