Initial commit: ASR v2 with multi-venv isolation
- faster-whisper, Qwen3-ASR, gateway 각 컴포넌트별 Python venv 분리 - 기본언어 한국어(ko) - 처리내역 탭: 목록/상세/원본파일 재생/삭제 - 백엔드별 동적 모델 드랍다운 - /history, /uploads API 추가 - 기존 인스턴스(port 18100) 보존, 신규 port 18101 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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FROM docker.io/pytorch/pytorch:2.7.0-cuda12.6-cudnn9-runtime
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=1 \
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WHISPER_CACHE_DIR=/srv/asr/models-cache \
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ASR_BASE_DIR=/srv/asr
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WORKDIR /app
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ffmpeg \
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libsndfile1 \
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curl \
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supervisor \
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python3-venv \
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&& rm -rf /var/lib/apt/lists/*
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COPY envs/ /build/envs/
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# gateway venv — 경량, GPU 불필요
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RUN python -m venv /opt/venvs/gateway && \
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/opt/venvs/gateway/bin/pip install --upgrade pip && \
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/opt/venvs/gateway/bin/pip install -r /build/envs/gateway.txt
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# faster-whisper venv — CTranslate2가 CUDA 직접 처리
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RUN python -m venv /opt/venvs/faster_whisper && \
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/opt/venvs/faster_whisper/bin/pip install --upgrade pip && \
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/opt/venvs/faster_whisper/bin/pip install -r /build/envs/faster_whisper.txt
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# qwen3 venv — base image의 torch/CUDA 상속
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RUN python -m venv --system-site-packages /opt/venvs/qwen3 && \
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/opt/venvs/qwen3/bin/pip install --upgrade pip && \
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/opt/venvs/qwen3/bin/pip install -r /build/envs/qwen3.txt
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COPY app/ /app/
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RUN chmod +x /app/start.sh
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EXPOSE 8000
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CMD ["/app/start.sh"]
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