render.yaml

services:
  - type: web
    name: eumora-api
    runtime: docker
    dockerfilePath: ./Dockerfile
    plan: standard          # 4 GB RAM — required for DeBERTa inference
    numInstances: 1
    healthCheckPath: /health
    envVars:
      - key: SPOTIFY_CLIENT_ID
        sync: false         # set this in Render dashboard
      - key: SPOTIFY_CLIENT_SECRET
        sync: false
      - key: HF_MODEL_REPO
        sync: false         # e.g. "yourname/eumora-emotion-classifier"
      - key: HF_TOKEN
        sync: false         # only needed for private HF repos
      - key: HF_HOME
        value: /app/.cache/huggingface
    disk:
      name: hf-cache
      mountPath: /app/.cache/huggingface
      sizeGB: 3             # caches model weights so restarts are fast