# GEMINI_API_KEY="AIzaSyB5TPjSPPZG1Qb6EtblhKFAjvCOdY15rcw"
# YOUTUBE_API="https://totally-real-dingo.ngrok-free.app"
# OPENROUTER_API_KEY="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"
# OPENROUTER_MODEL="openai/gpt-oss-20b:free"

services:
  video-render:
    restart: unless-stopped
    build: .
    container_name: video-render
    environment:
      # RabbitMQ credentials
      # - RABBITMQ_PASS=${RABBITMQ_PASS}
      - RABBITMQ_PASS="L@l321321321"
      # - GEMINI_API_KEY=${GEMINI_API_KEY}
      - GEMINI_API_KEY="AIzaSyB5TPjSPPZG1Qb6EtblhKFAjvCOdY15rcw"
      - GEMINI_MODEL=${GEMINI_MODEL:-gemini-2.5-pro}
      # - OPENROUTER_API_KEY=${OPENROUTER_API_KEY}
      - OPENROUTER_API_KEY="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"
      - OPENROUTER_MODEL=${OPENROUTER_MODEL:-openai/gpt-oss-20b:free}
      - FASTER_WHISPER_MODEL_SIZE=${FASTER_WHISPER_MODEL_SIZE:-small}
    # ports:
    #   - "5000:5000"
    volumes:
      # Mount host directories into the container so that videos can be
      # provided and outputs collected. These paths can be customised when
      # deploying the stack. The defaults assume /root/videos and
      # /root/outputs on the host.
      # - "/root/videos:/app/videos"
      # - "/root/outputs:/app/outputs"
      - "./videos:/app/videos"
      - "./outputs:/app/outputs"
    command: "python -u main.py"
    # runtime: nvidia

    # networks:
    #   - dokploy-network

    # deploy:
    #   resources:
    #     reservations:
    #       devices:
    #         - driver: nvidia
    #           count: all
    #           capabilities: [gpu]
# networks:
#   dokploy-network:
#     external: true