Backend: receipt upload -> LLM vision extraction (OpenAI-compatible, provider-agnostic), item review/edit, per-group splitting against Cospend projects/members, highlight+upload via WebDAV, public share link, bill creation via Cospend's OCS API (verified against real source, not just doc summaries). Frontend: capture -> review -> group -> summary flow as an installable PWA. install.sh / run.sh (venv + npm, tmux session) instead of Docker, per the ~/Projects/gain pattern.
7 lines
110 B
Python
7 lines
110 B
Python
from app import create_app
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app = create_app()
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if __name__ == "__main__":
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app.run(debug=True, port=5000)
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