👋 Hey NLP lovers! We’re on a fun mission to turn this little translation & summarization demo into a full-blown, production-ready toolkit—and we’d love your help! 🎉 Below you’ll find a bunch of cool ways to pitch in, from adding nifty NLP features and polishing the UI to beefing up tests, deployment, and community docs. 🚀 Pick whatever sparks your curiosity, open an issue, and send over a PR—together we’ll build something amazing! 🌟
🚀 Core Features
-
Multi-language support: allow choosing arbitrary source/target languages (not just English→Dutch).
-
Language selection UI: replace the hard-coded “Translate to Dutch” button with a dropdown of languages.
-
Additional NLP tools: add “Paraphrase”, “Sentiment Analysis” and “Keyword Extraction” alongside translate & summarize.
-
Model selection: let users pick between different transformer back-ends (e.g. MarianMT, Helsinki, T5, Pegasus).
-
Batch processing: support translating/summarizing multiple inputs at once.
📱 UI/UX Enhancements
-
Loading indicators: show spinners or progress bars during long model inferences.
-
Mobile responsiveness: optimize layout and touch-targets for phones/tablets.
-
Dark mode & theming: add a toggle and persist users’ theme preferences.
-
Input history & clear all: keep a session history of past translations/summaries.
đź“‚ File I/O
-
File upload support: accept .txt and PDF uploads for translation/summarization.
-
Export results: enable downloading output as .txt, .docx or PDF.
đź”§ Backend & Ops
-
Model caching: load each model once at startup instead of per-request.
-
Result caching: memoize translations/summaries to speed up repeat queries.
-
Rate limiting: prevent abuse by throttling requests per IP/user.
-
Robust error handling: catch and nicely display model/timeout errors.
-
Logging & monitoring: integrate structured logs and basic health checks.
🔍 Testing & CI
-
Unit tests: cover translator.py and summarizer.py logic.
-
E2E/UI tests: use a headless browser to test the full flow.
-
CI pipeline: add GitHub Actions for linting, tests, and builds on every PR.
-
Static analysis: integrate Black/Flake8 for Python and ESLint/Prettier for JS/CSS.
-
Test coverage: publish coverage reports and enforce a minimum threshold.
📝 Docs & Community
-
Getting Started guide: write clear setup steps (install, env vars, run).
-
CONTRIBUTING.md: outline how to file issues, code style, branch workflow.
-
Issue/PR templates: add boilerplate templates to standardize contributions.
-
Code of Conduct: foster a welcoming community with a CODE_OF_CONDUCT.md.
-
Roadmap: sketch upcoming releases/features to align contributors.
🚢 Packaging & Deployment
-
Docker support: add a Dockerfile + docker-compose.yml for easy local/dev testing.
-
Cloud deployment: scripts or GitHub Action to deploy to Heroku/AWS/GCP.
-
Versioning & releases: tag and publish GitHub Releases with changelogs.
-
Dependabot: enable automated dependency update PRs.