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Leonardo Devai 1c7f139569 Review and modernize all 42 projects to the updated standard
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Adds scripts/publish.sh + a CI publish job that splits every folder into its own
repo at git.devai.io/templates/<folder>.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01128fhuZbgivaSJvtMf4s1G
2026-09-27 21:10:38 +02:00

2.2 KiB

dictionary-lookup

Type a word and read its pronunciation and definitions, grouped by part of speech, from a free dictionary API. It's your lesson in digging data out of real JSON — arrays tucked inside objects tucked inside arrays.

Run

Get it: git clone https://git.devai.io/templates/dictionary-lookup.git

Double-click index.html — it opens in your browser and works, as long as you're online (it calls the dictionary live). Nothing to install.

Or serve it like production:

docker compose up --build

Then open http://localhost:8080.

How it works

lookup(word) fetches https://freedictionaryapi.com/api/v1/entries/en/<word> — English Wiktionary as JSON, no key needed. The answer is nested three levels deep:

data.entries[]            one per part of speech (noun, verb, …)
  .senses[]               one per meaning
    .definition           the text
    .examples[]           optional example sentences

render() walks down with one loop per level: an <h3> for each entry's partOfSpeech, an <ol> of its senses, and the first example under a definition when there is one. Everything goes onto the page with textContent, never innerHTML, so text from the API can't inject HTML.

The states are handled too: "Loading…" while waiting, a friendly message when the word isn't found (the API answers with an empty entries array), when you hit the 1,000-lookups-an-hour limit (HTTP 429), or when the network fails.

Try it: show each sense's synonyms, cap each part of speech at two definitions with item.senses.slice(0, 2), or add a "Surprise me" button.

Layout

index.html   the search form, a status line and an empty entry card
app.js       lookup() and render()
styles.css   the look; follows your system's light or dark mode

Deploy

Push to your own GitHub repo and the shipped workflow (.github/workflows/ci.yml) tests the compose stack, publishes the image to GHCR, and — once you set the DEPLOY_HOST / DEPLOY_USER variables and DEPLOY_KEY secret — deploys it to your server over ssh.


Part of devai.io — the APIs & Data track: fetch real data from the internet. Next up: country-explorer.