VoiceVault

Schema-driven archival audio backend + frontend.

What It Does

• Register / login users
• Upload original audio/video to Supabase Storage bucket (archives)
• Create audio_posts records in Postgres
• Transcribe media locally with faster-whisper
• Save transcript chunks to rag_chunks (with embeddings)
• Build prompt context and store in archive_metadata
• Search user chunks with RAG endpoint (vector mode or text fallback)

Project Structure

• backend/main.py Flask app entry
• backend/api_routes.py API routes and upload/transcription flow
• backend/db_queries.py Supabase DB/storage helpers
• schema.sql database schema
• frontend/ React app

Environment (backend/.env)

Required:

• SUPABASE_URL
• SUPABASE_SERVICE_ROLE_KEY (service role key, not publishable key)
• SUPABASE_BUCKET=archives

Optional:

• BACKEND_UPLOAD_DIR=uploads
• WHISPER_MODEL=base
• WHISPER_DEVICE=cpu
• WHISPER_COMPUTE_TYPE=int8

Run Backend

cd backend
python main.py

Backend runs on http://localhost:5000.

Run Frontend

cd frontend
npm install
npm run dev

Set frontend API base to http://127.0.0.1:5000/api (or your backend host).

Core API Endpoints

Auth:

• POST /api/auth/register
• POST /api/auth/login

Upload + processing:

• POST /api/posts/upload (multipart form-data: file, user_id, title, visibility, optional metadata)

History + RAG:

• GET /api/users/<user_id>/history
• GET /api/rag/search?user_id=<id>&q=<text>
• GET /api/rag/search?user_id=<id>&query_embedding=[...]

Playback:

• GET /api/posts/<post_id>/audio-url?user_id=<id> (required for private posts)

Post data:

• GET /api/posts
• GET /api/posts/<post_id>
• GET /api/posts/<post_id>/bundle
• GET /api/posts/<post_id>/files
• GET /api/posts/<post_id>/chunks

Notes

• Original media is stored in Supabase Storage; DB stores the object path in archive_files (role=original_audio).
• Transcript text/chunks/metadata/audit remain in Postgres tables.
• If storage upload fails with RLS errors, verify service-role key and bucket policies.