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.
14 lines
360 B
HTML
14 lines
360 B
HTML
<!doctype html>
|
|
<html lang="en">
|
|
<head>
|
|
<meta charset="UTF-8" />
|
|
<link rel="icon" type="image/svg+xml" href="/favicon.svg" />
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
|
<title>frontend</title>
|
|
</head>
|
|
<body>
|
|
<div id="root"></div>
|
|
<script type="module" src="/src/main.tsx"></script>
|
|
</body>
|
|
</html>
|