Language Detection Model

This repository contains code for a language detection model based on machine learning. The model is built using scikit-learn and deployed as a FastAPI web application using Docker.

Features

• Predicts the language of a given text using a pre-trained language detection model.
• Supports multiple languages including Arabic, Danish, Dutch, English, French, German, Greek, Hindi, Italian, Kannada, Malayalam, Portuguese, Russian, Spanish, Swedish, Tamil, and Turkish.
• Provides a user-friendly API interface for making predictions.

Setup and Installation

To run the language detection model locally, follow these steps:

1. Clone this repository: git clone https://github.com/Hk669/language-detection-model.git
2. Install Docker on your machine: https://docs.docker.com/get-docker/
3. Build the Docker image: docker build -t language-detection-app .
4. Run the Docker container: docker run -p 80:80 language-detection-app
5. Access the API at http://localhost:80 or http://127.0.0.1:80

API Usage

Make a POST request to the /predict endpoint with the following JSON payload:

Contributing

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

License

This project is licensed under the MIT License.