zikai
00e2a95fb7
- 音频/视频转双语(英/中)SRT 字幕，Docker 容器化，CPU 开发/GPU 生产同一份代码 - faster-whisper ASR(词级时间戳) + 断句时间戳重算 + NLLB 翻译(模型不共驻) - 分片上传(断点续传) + SQLite 持久化 + 主页/历史/日志页面 - 历史页文件名搜索；缓存定时清理(默认保留7天，可配置) - 双 Dockerfile(cpu/gpu) + setup/start/stop 脚本
54 lines
1.2 KiB
YAML
54 lines
1.2 KiB
YAML
# audio2text — 双语字幕生成服务
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# CPU dev / GPU prod 两套配置，按需切换 service。
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#
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# CPU 开发：
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# docker compose up -d # 默认 cpu
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# GPU 生产：
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# docker compose -f docker-compose.yml up -d # 本机有 nvidia runtime 时自动用 gpu
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#
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# 模型缓存（/models）跨容器复用，首次启动下载、之后秒起。
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services:
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audio2text-cpu:
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build:
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context: .
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args:
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VARIANT: cpu
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image: audio2text:cpu
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container_name: audio2text
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ports:
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- "8000:8000"
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volumes:
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- ./data:/data
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- ./models:/models
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- ./config.yaml:/app/config.yaml:ro
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environment:
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CONFIG_PATH: /app/config.yaml
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restart: unless-stopped
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profiles: ["cpu", ""]
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audio2text-gpu:
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build:
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context: .
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args:
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VARIANT: gpu
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image: audio2text:gpu
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container_name: audio2text
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ports:
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- "8000:8000"
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volumes:
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- ./data:/data
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- ./models:/models
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- ./config.yaml:/app/config.yaml:ro
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environment:
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CONFIG_PATH: /app/config.yaml
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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restart: unless-stopped
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profiles: ["gpu"]
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