Text Translation service using T5-base model

This is a text translation service using the t5-base model from huggingface The api service is built using Fastapi

Features

• Translate text among 4 languages namely
  • English
  • French
  • German
  • Romanian

Documentation

After running the app, the documentation is available at the "/docs" endpoint

Hardware Requirements

Minimum hardware requirements CPU: 4GB RAM DISK: 2GB

Run Locally

You need to have in order to successfully run the project.

• Python 3.9
• Poetry 1.1.14

Clone the project

  git clone the-project

Go to the project directory

  cd Text-Translation-Service-Using-t5-base-model

Install dependencies

   poetry install

Start the server

  poetry run uvicorn main:app --host 0.0.0.0 --port 80

Deployment

To deploy the project,

1. Build the image with

  $ docker build . -t t5-base-api-service

2. Then run it in a container

  $ docker run --publish 80:80 t5-base-api-service   

Using dockerhub

Alternately, the image can be pulled from docker hub

1. Pull the image

  docker pull peprah/t5-base-api-service:latest   

2. Run in container

  $ docker run --publish 80:80 peprah/t5-base-api-service