df115e4d1e
- New ttsreader-align Deployment + Service + 5Gi PVC under apps/fc-ttsreader/. Wraps SYSTRAN/faster-whisper in a small FastAPI app exposing POST /align (fc-align contract used by Shared.Speech) AND POST /transcribe (audio-in feature consumed by ttsreader-web Lane G). Source: apps/fc-ttsreader/speech-align/ (Dockerfile + app.py + requirements.txt). Built locally (apt-get RUN steps need BLUEJAY-WS, not noc1) and ctr-imported to all 3 RKE2 nodes. - ttsreader-web env: flip Speech__Alignment__Enabled=true and point BaseUrl at http://ttsreader-align.fc-ttsreader.svc.cluster.local.:9200. Add new TtsReader__Transcription__* env triplet pointing at the same service (same /transcribe endpoint). - Bump ttsreader-web image to v202604251046 (carries the TranscriptionController + MCP tool + Quick.razor InputFile UI).
48 lines
1.7 KiB
Docker
48 lines
1.7 KiB
Docker
# FlowerCore speech-align — wraps SYSTRAN/faster-whisper with /align +
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# /transcribe endpoints used by FlowerCore.TtsReader. CPU-only image; the
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# default int8 compute type runs base.en at ~real-time on a single core.
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#
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# Build: podman build -t localhost/fc-speech-align:<ver> .
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# Run: podman run --rm -p 9200:9200 -v fc-speech-align-models:/models localhost/fc-speech-align:<ver>
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FROM python:3.12-slim AS base
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PIP_DISABLE_PIP_VERSION_CHECK=1 \
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PIP_NO_CACHE_DIR=1 \
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WHISPER_MODEL=Systran/faster-whisper-base.en \
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WHISPER_CACHE_DIR=/models \
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WHISPER_DEVICE=cpu \
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WHISPER_COMPUTE_TYPE=int8 \
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DEFAULT_LANGUAGE=en \
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MAX_AUDIO_BYTES=52428800
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# faster-whisper depends on libsndfile1 + libgomp1 (OpenMP runtime). ffmpeg is
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# pulled in for non-WAV inputs (transcribe accepts any container).
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends \
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libsndfile1 \
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libgomp1 \
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ffmpeg \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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COPY requirements.txt /app/
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RUN pip install --no-cache-dir -r requirements.txt
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COPY app.py /app/
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# Run as a non-root user to satisfy K8s securityContext.runAsNonRoot.
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RUN useradd --create-home --shell /usr/sbin/nologin --uid 1654 align \
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&& mkdir -p /models \
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&& chown -R 1654:1654 /models
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USER 1654
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EXPOSE 9200
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HEALTHCHECK --interval=30s --timeout=5s --start-period=120s --retries=3 \
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CMD python -c "import urllib.request,sys; urllib.request.urlopen('http://127.0.0.1:9200/health',timeout=3); sys.exit(0)" || exit 1
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "9200", "--workers", "1"]
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