feat: Initial clean release of CHM

Dockerfile.transcribe.gpu

@@ -0,0 +1,91 @@
+# GPU-enabled variant of the Transcribe server image (NVIDIA / CUDA).
+#
+# This Dockerfile is the same as Dockerfile.transcribe, but:
+#   - The base image is nvidia/cuda (so the CUDA runtime libs are present).
+#   - Node.js 24 is installed on top of the CUDA base image.
+#   - The CUDA build of llama-mtmd-cli is copied from the official llama.cpp
+#     CUDA image (ghcr.io/ggml-org/llama.cpp:full-cuda-b5449). We use a
+#     multi-stage COPY here because llama.cpp does not publish a prebuilt
+#     Linux/CUDA zip on its release page — only Windows CUDA zips and the
+#     official Docker images.
+#
+# To run with GPU:
+#   docker run --gpus all -e HTR_CLI_GPU_LAYERS=9999 \
+#       --rm --env-file .env-transcribe -p 4567:4567 \
+#       -v ./data:/data joplin/transcribe:gpu-latest
+#
+# Requires the NVIDIA Container Toolkit on the host.
+# Apple Silicon / Metal is not supported through Docker (Docker Desktop on
+# macOS cannot expose the GPU to containers) — see packages/transcribe/README.md
+# for the native-run instructions.
+
+# Stage 1: pull the CUDA-built llama.cpp binaries from the official image.
+FROM ghcr.io/ggml-org/llama.cpp:full-cuda-b5449 AS llama-cuda
+
+# Stage 2: our runtime image.
+FROM nvidia/cuda:13.3.1-cudnn-runtime-ubuntu22.04
+
+RUN apt-get update \
+    && apt-get install -y \
+    ca-certificates curl wget \
+    python3 tini gnupg \
+    && curl -fsSL https://deb.nodesource.com/setup_24.x | bash - \
+    && apt-get install -y nodejs \
+    && rm -rf /var/lib/apt/lists/*
+
+ENV NODE_ENV=production
+
+RUN corepack enable
+
+# Copy the CUDA-built llama-mtmd-cli binary and its runtime shared libraries
+# from the official llama.cpp CUDA image. The /app directory of that image
+# contains the built binaries and their .so dependencies.
+RUN mkdir -p /opt/llama/build/bin
+COPY --from=llama-cuda /app/llama-mtmd-cli /opt/llama/build/bin/llama-mtmd-cli
+COPY --from=llama-cuda /app/*.so /opt/llama/build/bin/
+RUN chmod +x /opt/llama/build/bin/llama-mtmd-cli
+
+# Create non-root user for security
+RUN groupadd -r transcribe && useradd -r -g transcribe -m transcribe
+
+WORKDIR /app
+
+COPY .yarn/releases ./.yarn/releases
+COPY .yarn/patches ./.yarn/patches
+COPY package.json .
+COPY .yarnrc.yml .
+COPY yarn.lock .
+COPY gulpfile.js .
+COPY tsconfig.json .
+COPY packages/lib ./packages/lib
+COPY packages/utils ./packages/utils
+COPY packages/tools ./packages/tools
+COPY packages/renderer ./packages/renderer
+COPY packages/htmlpack ./packages/htmlpack
+COPY packages/transcribe ./packages/transcribe
+
+# We don't want to build onenote-converter since it is not used by the server
+RUN sed --in-place '/onenote-converter/d' ./packages/lib/package.json
+
+RUN BUILD_SEQUENCIAL=1 yarn install --inline-builds \
+    && yarn cache clean \
+    && rm -rf .yarn/berry
+
+# Create data directory and set permissions
+RUN mkdir -p /data/images \
+    && chown -R transcribe:transcribe /data
+
+WORKDIR /app/packages/transcribe
+
+# Switch to non-root user
+USER transcribe
+
+# Set environment variables
+ENV HTR_CLI_BINARY_PATH=/opt/llama/build/bin/llama-mtmd-cli
+ENV LD_LIBRARY_PATH=/opt/llama/build/bin
+ENV DATA_DIR=/data
+ENV QUEUE_DRIVER=sqlite
+
+# Start the Node.js application
+ENTRYPOINT ["/usr/bin/tini", "--"]
+CMD ["yarn", "start"]