Backend (Audio -> Whisper -> Supabase)

This backend:

1. accepts an audio file,
2. transcribes it with OpenAI Whisper (whisper-1),
3. stores transcript text in Supabase posts.transcribed_text,
4. links categories in post_categories.

Install

pip install -r requirements.txt

Environment variables

• OPENAI_API_KEY
• SUPABASE_URL
• SUPABASE_SERVICE_ROLE_KEY (use service-role key on backend only)
• UPLOAD_DIR (default: uploads)
• PORT (default: 5000)

Run

python speech_to_text.py

Endpoints

• GET /health
• GET /health/db
• POST /upload-audio

Upload example

curl -X POST http://localhost:5000/upload-audio \
  -F "file=@sample.mp3" \
  -F "user_id=1" \
  -F "title=My oral history" \
  -F "category_ids=1,4" \
  -F "is_private=false"

Required tables in Supabase

Your Supabase Postgres project should already contain:

• users
• posts
• post_categories
• categories

Note: user_id must exist in users before upload.