bunker-admin
c7becf330c
Real-time speech-to-text using OpenAI Whisper (faster-whisper). Features browser audio capture, WebSocket streaming, and customizable display settings. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
30 lines
731 B
YAML
30 lines
731 B
YAML
services:
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live-captions:
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build: .
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container_name: live-captions
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ports:
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- "${PORT:-5000}:5000"
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volumes:
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# Persist SQLite database
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- ./data:/app/data
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# Persist Whisper models
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- whisper-models:/home/appuser/.cache/huggingface
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# Persist recordings
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- ./recordings:/app/recordings
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env_file:
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- .env
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environment:
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- HOST=0.0.0.0
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- PORT=5000
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:5000/api/health')"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 60s
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volumes:
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whisper-models:
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name: live-captions-whisper-models
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