ce11ecc757
Add a languageDetectionMode setting (algo | laya | laya+algo) exposed in Settings with three engine choices. When Laya is enabled, a laya service (Dockerfile.laya, optional compose profile, models stored outside the repo under ./data/models/laya) can be started, with model download and deletion from the UI via /laya routes to manage disk space. Add a channelLanguageFusion service combining Laya results with the existing algorithm, and wire detection mode through grouping, channel list and player. Cover engine selection, fusion and laya service behavior with tests. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
24 lines
693 B
Docker
24 lines
693 B
Docker
FROM python:3.12-slim
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ARG TORCH_VERSION=2.14.1
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# Install the CPU wheel explicitly before Laya so pip does not select the much
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# larger CUDA build. Model weights remain runtime-only in the mounted cache.
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RUN python -m pip install --no-cache-dir \
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"torch==${TORCH_VERSION}" \
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--index-url https://download.pytorch.org/whl/cpu \
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&& python -m pip install --no-cache-dir "laya[serve]>=0.3.22,<0.4" \
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&& python -m pip check \
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&& python -c "import torch; assert torch.version.cuda is None, torch.version.cuda"
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ENV HF_HOME=/models \
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LAYA_HOST=0.0.0.0 \
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LAYA_PORT=8000 \
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LAYA_PRELOAD=0 \
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LAYA_DEVICE=cpu
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VOLUME ["/models"]
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EXPOSE 8000
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CMD ["laya-serve"]
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