lukehemmin
7327145d7a
Batch+realtime transcription API: faster-whisper engine w/ EngineOwner (single GPU owner, OOM downgrade chain, persisted attempted_profiles), hardware-adaptive device manager (T0-T3 VRAM tiers), Redis/in-proc job queue w/ leases + crash recovery, postprocess (glossary/rules/LLM w/ egress guard), privacy-first result store (UUID keys, source deleted after transcribe), retention sweeper, API-key auth (HMAC digests, scopes, job ownership), WebSocket realtime lane (LocalAgreement), CLI (detect/transcribe/bench/serve/key), Docker, benchmark runner. 127 mock-based tests pass; ruff clean. Includes verification checklist and autoplan review notes.
27 lines
831 B
Docker
27 lines
831 B
Docker
# luke_scribe GPU 이미지 — CUDA 12 + cuDNN 9 + faster-whisper
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# 기준: NVIDIA CUDA 12 런타임, cc>=7.0 GPU (T4 이상 권장)
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FROM nvidia/cuda:12.4.1-runtime-ubuntu22.04
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RUN apt-get update && apt-get install -y --no-install-recommends \
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python3.11 python3-pip python3-venv ffmpeg \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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COPY pyproject.toml README.md ./
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COPY src/ ./src/
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RUN python3.11 -m venv /opt/venv \
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&& . /opt/venv/bin/activate \
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&& pip install --no-cache-dir -e ".[engine,gpu,api]" \
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&& pip install --no-cache-dir "faster-whisper>=1.0.3"
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ENV PATH="/opt/venv/bin:$PATH" \
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LUKESCRIBE_DEVICE=auto \
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LUKESCRIBE_QUEUE_BACKEND=redis \
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LUKESCRIBE_HOST=0.0.0.0 \
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LUKESCRIBE_PORT=8000 \
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NVIDIA_VISIBLE_DEVICES=all
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EXPOSE 8000
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CMD ["python", "-m", "luke_scribe.cli", "serve"]
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