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https://github.com/QuentinFuxa/WhisperLiveKit.git
synced 2026-03-07 14:23:18 +00:00
explanations about model persistency in containers
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17
Dockerfile
17
Dockerfile
@@ -24,11 +24,11 @@ RUN apt-get update && \
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RUN python3 -m venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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# upgrade pip + setuptools + wheel and increase timeout/retries for large torch wheels
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# timeout/retries for large torch wheels
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RUN pip3 install --upgrade pip setuptools wheel && \
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pip3 --disable-pip-version-check install --timeout=120 --retries=5 \
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--index-url https://download.pytorch.org/whl/cu129 \
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torch torchvision torchaudio \
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torch torchaudio \
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|| (echo "Initial install failed — retrying with extended timeout..." && \
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pip3 --disable-pip-version-check install --timeout=300 --retries=3 \
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--index-url https://download.pytorch.org/whl/cu129 \
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@@ -45,8 +45,20 @@ RUN if [ -n "$EXTRAS" ]; then \
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pip install --no-cache-dir whisperlivekit; \
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fi
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# In-container caching for Hugging Face models by:
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# A) Make the cache directory persistent via an anonymous volume.
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# Note: This only persists for a single, named container. This is
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# only for convenience at de/test stage.
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# For prod, it is better to use a named volume via host mount/k8s.
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VOLUME ["/root/.cache/huggingface/hub"]
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# or
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# B) Conditionally copy a local pre-cache from the build context to the
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# container's cache via the HF_PRECACHE_DIR build-arg.
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# WARNING: This will copy ALL files in the pre-cache location.
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# Conditionally copy a cache directory if provided
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RUN if [ -n "$HF_PRECACHE_DIR" ]; then \
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echo "Copying Hugging Face cache from $HF_PRECACHE_DIR"; \
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mkdir -p /root/.cache/huggingface/hub && \
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@@ -55,6 +67,7 @@ RUN if [ -n "$HF_PRECACHE_DIR" ]; then \
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echo "No local Hugging Face cache specified, skipping copy"; \
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fi
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# Conditionally copy a Hugging Face token if provided. Useful for Diart backend (pyannote audio models)
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RUN if [ -n "$HF_TKN_FILE" ]; then \
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echo "Copying Hugging Face token from $HF_TKN_FILE"; \
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mkdir -p /root/.cache/huggingface && \
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