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It recommends destinations and routes based on season and budget preferences and computes shortest paths between cities.\n\n## Quick start\n\nPrerequisites\n\n- Python 3.8+\n\nInstall dependencies (recommended in a virtual environment):\n\n```powershell\npython -m venv .venv\n.\\.venv\\Scripts\\Activate.ps1\npip install -r requirements.txt\n```\n\nRun the Streamlit app:\n\n```powershell\nstreamlit run app.py\n```\n\nOpen http://localhost:8501 in your browser. Press Ctrl+C to stop.\n\nRun tests:\n\n```powershell\npytest -q\n```\n\n## Project layout\n\n- `app/experta_kb.py` — Experta knowledge base and rules\n- `app/query.py` — Helper/adaptor functions used by the UI and tests\n- `app.py` — Streamlit UI\n- `test/` — unit and integration tests\n\n## Environment variables\n\nCopy `.env.example` to `.env` to configure:\n\n- `USE_MAPBOX` — `true` to enable Mapbox tiles\n- `MAPBOX_TOKEN` — Mapbox access token (if `USE_MAPBOX=true`)\n- `MAPBOX_STYLE` — optional Mapbox style URI\n- `OSM_TILE_URL` — optional custom OSM tile URL\n\n## Notes\n\n- The canonical knowledge base is `app/experta_kb.py`. Extend rules or data there.\n- README simplified to remove outdated details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmanojtharindu11%2Fitp_sl_via_experta","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmanojtharindu11%2Fitp_sl_via_experta","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmanojtharindu11%2Fitp_sl_via_experta/lists"}