Helsinki-NLP based English-Spanish-French Machine Translation App

This is a Python Flask application based on the Huggingface transformer library with the "Helsinki-NLP" model developed by the Language Technology Research Group of the University of Helsinki and CSS based on Materialize, a modern responsive CSS framework based on Material Design by Google.

Run the Application

To run Locally

1. Clone the repository in your Local:

git clone https://github.com/joakimvivas/machine-translation-service.git

2. Cd into the repo as such:

cd machine-translation-service

3. Create the Python virtual environment

python3 -m venv machine-translation

Inititate the Python virtual environment

source machine-translation/bin/activate

4. Install requirements:

pip install -r requirements.txt

5. Run the server using this one simple command:

flask run

You can now access the app on your local browser by using

http://localhost:5000/

To run with docker

1. Pre-requirements: You need to have installed Docker (Guide to install it)

2. Run the Docker build

docker build -t machine-translation-service .

3. Run and Start the Docker container

docker run --name translate -p 5000:5000 -d machine-translation-service

The front end should then become available at http://localhost:5000

Important: The first time, the time to load could be higher because the application will download the AI models from its original data source.