0c0a9c3b5c
Dentre eles estão recurso de adicao do faster-whisper, geração de legenda e integracao com Gemini e Open Router
35 lines
1.2 KiB
YAML
35 lines
1.2 KiB
YAML
services:
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video-render-new:
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restart: unless-stopped
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build: .
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container_name: video-render-new
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environment:
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# RabbitMQ credentials
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- RABBITMQ_PASS=${RABBITMQ_PASS}
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- RABBITMQ_HOST=${RABBITMQ_HOST}
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- RABBITMQ_USER=${RABBITMQ_USER}
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- RABBITMQ_PORT=${RABBITMQ_PORT}
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- RABBITMQ_QUEUE=${RABBITMQ_QUEUE}
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- RABBITMQ_UPLOAD_QUEUE=${RABBITMQ_UPLOAD_QUEUE}
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# API keys for the LLMs
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- GEMINI_API_KEY=${GEMINI_API_KEY}
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- OPENROUTER_API_KEY=${OPENROUTER_API_KEY}
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- OPENROUTER_MODEL=${OPENROUTER_MODEL}
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# Optional whisper settings
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- WHISPER_MODEL=${WHISPER_MODEL}
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- WHISPER_DEVICE=${WHISPER_DEVICE}
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- WHISPER_COMPUTE_TYPE=${WHISPER_COMPUTE_TYPE}
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volumes:
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# Mount host directories into the container so that videos can be
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# provided and outputs collected. These paths can be customised when
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# deploying the stack. The defaults assume /root/videos and
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# /root/outputs on the host.
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- "/root/videos:/app/videos"
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- "/root/outputs:/app/outputs"
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command: "python -u main.py"
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networks:
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- dokploy-network
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networks:
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dokploy-network:
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external: true |