🌍 Language Detection Service

A high-performance, containerized language detection microservice built with Rust, Actix-Web, and the Lingua library. Detects over 75 languages with high accuracy and low latency.

✨ Features

• 🔍 Accurate Detection: Supports 75+ languages with confidence scoring
• ⚡ High Performance: Built with Rust for exceptional speed and low memory usage
• 🐳 Container Ready: Full Docker support with multi-stage builds
• 📊 JSON API: Simple RESTful interface with detailed response format
• 🔒 Production Ready: Proper error handling and logging

🚀 Quick Start

Prerequisites

• Docker and Docker Compose
• or Rust 1.88+ toolchain

Using Docker Compose

1. Clone the repository:

git clone https://github.com/101t/lang_detect --depth 1 -b master
cd language-detection-service

2. Start the service:

docker-compose up -d

3. Test the service:

curl -X POST -H "Content-Type: application/json" \
  -d '{"text": "Bonjour, comment allez-vous?"}' \
  http://localhost:8080/predict

Building from Source

1. Install Rust:

curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

2. Build and run:

cargo build --release
cargo run

📖 API Documentation

Endpoint

POST /predict

Request

curl -X POST -H "Content-Type: application/json" \
  -d '{"text": "Your text to analyze here"}' \
  http://localhost:8080/predict

Response

{
  "language": "French",
  "confidence": 0.95,
  "is_reliable": true
}

Response Fields

• language: Detected language name (e.g., "French", "English")
• confidence: Confidence score between 0.0 and 1.0
• is_reliable: Boolean indicating if detection is reliable (confidence > 0.75)

🐳 Docker Configuration

docker-compose.yml

version: '3.8'

services:
  language-detection:
    build: .
    ports:
      - "8080:8080"
    environment:
      - RUST_LOG=info
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8080/health_check"]
      interval: 30s
      timeout: 10s
      retries: 3

Building the Docker Image

docker build -t language-detection-service .

Running with Docker

docker run -p 8080:8080 language-detection-service

🔧 Configuration

The service supports the following environment variables:

Variable	Default	Description
RUST_LOG	info	Logging level (error, warn, info, debug, trace)
PORT	8080	HTTP server port

📊 Supported Languages

The service detects a wide range of languages including:

• English, Spanish, French, German, Italian
• Chinese, Japanese, Korean
• Arabic, Hindi, Russian
• And many more (75+ total)

🛠️ Development

Project Structure

.
├── src/
│   └── main.rs          # Application entry point
├── Cargo.toml           # Rust dependencies
├── Dockerfile           # Container configuration
├── docker-compose.yml   # Service orchestration
└── Makefile             # Build shortcuts

Building for Development

cargo build
cargo run

Running Tests

cargo test
make test

📈 Performance

The service is optimized for:

• Low latency (< 10ms for most requests)
• High throughput (> 1000 req/sec on modest hardware)
• Minimal memory footprint (~20MB RAM)

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

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

🙏 Acknowledgments

• Actix-Web for the powerful web framework
• Lingua for the accurate language detection
• Rust for the memory-safe language

📞 Support

If you have any questions or issues, please open an issue on the GitHub repository.

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Language Detection Service - Fast, accurate language detection as a microservice. Built with ❤️ using Rust.