FastText Language Detection with Flask

This project is a web-based application that uses the FastText language detection model to predict the language of a given text. It runs on a Flask web server and is containerized using Docker and Docker Compose.

Features

• Web Form: Enter text via a web form and detect the language.
• FastText Model: Uses the FastText lid.176.bin pre-trained model for language detection, supporting 176 languages.
• Dockerized: Fully containerized for easy setup and deployment.
• Automatic Model Download: The FastText model is automatically downloaded if not present when the container starts.

Prerequisites

To run this application, you need to have the following installed:

• Docker
• Docker Compose

Setup and Installation

1. Clone the Repository

git clone https://github.com/AashishDhakal/language-predictor.git
cd language-predictor

2. Build and Run the Docker Container

docker-compose up --build

3. Access the Web Application

Open your browser and go to http://localhost:3000 to access the web application.

Usage

1. Enter the text you want to detect the language for in the text area.
2. Click the Detect Language button.
3. The detected language will be displayed below the button.