Uses Vue3, Vite, Tailwind CSS for the front end and Web Server written in Go for the bank end. Uses Sqlite db to hold the dictionary entries.

• npm install install dependencies
• node populate-sqlite.mjs for (re)creating the db from the dictionary files in dict-input folder

1. npm run dev to start dev frontend server on port 5173
2. go build and then start backend server ./server -no-open -root-dir=.. to handle backend sqlite requests

1. npm run build to generate dist folder with minified frontend files
2. Compile the arutha_lk_linux_intel go binary and copy it with the dist and server-data folders to the cloud droplet
3. Follow the instructions in the arutha_lk.service file to register a systemctl service and start it
4. The server runs on port 3000

cd server
./build-all.sh # build the go binaries for all platforms
./create-zips.sh # create zip files with the binary and dist/server-data folder for windows/linux
./sign-notorize.sh # codesign and notorize a dmg file for macos

Then upload the resulting files to this Github repo's releases