dodox
d97aac0e17
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.
6 lines
84 B
Plaintext
6 lines
84 B
Plaintext
Flask==3.0.3
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Flask-Cors==4.0.1
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python-dotenv==1.0.1
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requests==2.32.3
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Pillow==10.4.0
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