twirapp/language-processor repository overview

⁠Language processor

Simple HTTP Server for translate texts and detect languages

⁠Local Run

1. Clone the repository

   git clone https://github.com/twirapp/language-processor.git && cd language-processor
   

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2. Download model Run this in the project root directory:

   wget https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.bin
   

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3. Install dependencies

   go mod download
   

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4. Run the server

   go run cmd/main.go
   

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⁠Docker Hub

You can pull the pre-built Docker image from Docker Hub:

docker pull twirapp/language-processor

And run it with the command:

docker run --rm -p 3012:3012 --name language-processor twirapp/language-processor

⁠Docker Build

1. Clone the repository

git clone https://github.com/twirapp/language-processor.git && cd language-processor

1. Build the Docker image

docker build -t language-processor .

1. Run the container

docker run --rm -p 3012:3012 --name language-processor language-processor

⁠Docker Compose

Create a docker-compose.yml file with the following content:

services:
  language-processor:
    image: twirapp/language-processor
    ports:
      - "3012:3012"

Then run:

docker compose up -d