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FROM nvidia/cuda:12.9.1-cudnn-devel-ubuntu24.04
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
WORKDIR /app
ARG EXTRAS
ARG HF_PRECACHE_DIR
ARG HF_TKN_FILE
RUN apt-get update && \
apt-get install -y --no-install-recommends \
python3 \
python3-pip \
python3-venv \
ffmpeg \
git \
build-essential \
python3-dev \
ca-certificates && \
rm -rf /var/lib/apt/lists/*
RUN python3 -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
# timeout/retries for large torch wheels
RUN pip3 install --upgrade pip setuptools wheel && \
pip3 --disable-pip-version-check install --timeout=120 --retries=5 \
--index-url https://download.pytorch.org/whl/cu129 \
torch torchaudio \
|| (echo "Initial install failed — retrying with extended timeout..." && \
pip3 --disable-pip-version-check install --timeout=300 --retries=3 \
--index-url https://download.pytorch.org/whl/cu129 \
torch torchvision torchaudio)
COPY . .
# Install WhisperLiveKit directly, allowing for optional dependencies
# Example: --build-arg EXTRAS="translation"
RUN if [ -n "$EXTRAS" ]; then \
echo "Installing with extras: [$EXTRAS]"; \
pip install --no-cache-dir "whisperlivekit[$EXTRAS]"; \
else \
echo "Installing base package only"; \
pip install --no-cache-dir whisperlivekit; \
fi
# In-container caching for Hugging Face models by:
# A) Make the cache directory persistent via an anonymous volume.
# Note: This only persists for a single, named container. This is
# only for convenience at de/test stage.
# For prod, it is better to use a named volume via host mount/k8s.
VOLUME ["/root/.cache/huggingface/hub"]
# or
# B) Conditionally copy a local pre-cache from the build context to the
# container's cache via the HF_PRECACHE_DIR build-arg.
# WARNING: This will copy ALL files in the pre-cache location.
# Conditionally copy a cache directory if provided
RUN if [ -n "$HF_PRECACHE_DIR" ]; then \
echo "Copying Hugging Face cache from $HF_PRECACHE_DIR"; \
mkdir -p /root/.cache/huggingface/hub && \
cp -r $HF_PRECACHE_DIR/* /root/.cache/huggingface/hub; \
else \
echo "No local Hugging Face cache specified, skipping copy"; \
fi
# Conditionally copy a Hugging Face token if provided. Useful for Diart backend (pyannote audio models)
RUN if [ -n "$HF_TKN_FILE" ]; then \
echo "Copying Hugging Face token from $HF_TKN_FILE"; \
mkdir -p /root/.cache/huggingface && \
cp $HF_TKN_FILE /root/.cache/huggingface/token; \
else \
echo "No Hugging Face token file specified, skipping token setup"; \
fi
EXPOSE 8000
ENTRYPOINT ["whisperlivekit-server", "--host", "0.0.0.0"]
CMD ["--model", "medium"]