cancerag/render.yaml at main · omicscodeathon/cancerag · GitHub

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# Render.com deployment configuration for CancerAg Inference App
# Documentation: https://render.com/docs/infrastructure-as-code

services:
  - type: web
    name: cancerag-inference
    runtime: docker
    # Path to Dockerfile relative to repository root
    dockerfilePath: ./inference_app/Dockerfile
    # Build context is repository root (needed to access data/ and results/)
    dockerContext: .

    # Plan selection
    # free: $0/month - 512MB RAM, 0.1 CPU, spins down after 15min inactivity
    # starter: $7/month - 512MB RAM, 0.5 CPU
    # standard: $25/month - 2GB RAM, 1 CPU (recommended for full features)
    # pro: $85/month - 4GB RAM, 2 CPU
    plan: free

    # Deployment settings
    region: oregon  # or frankfurt, singapore based on user location

    # Health check configuration
    healthCheckPath: /

    # Auto-deploy settings
    autoDeploy: true  # Deploy automatically on git push

    # Environment variables
    envVars:
      - key: GRADIO_SERVER_NAME
        value: "0.0.0.0"
      - key: GRADIO_SERVER_PORT
        value: "7860"
      - key: BASE_PATH
        value: /app
      - key: GRADIO_ANALYTICS_ENABLED
        value: "false"
      - key: PYTHONUNBUFFERED
        value: "1"

    # Note: Scaling and disk features are not available on the free plan
    # Free plan limitations:
    # - Spins down after 15 minutes of inactivity
    # - Cold start time: ~60-120 seconds when waking up
    # - 512MB RAM limit (may struggle with all receptors loaded)
    # - No persistent disk storage