Docker container support#82
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andreasntr
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Nov 29, 2025
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| ### TL;TL;DR | ||
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| - dockebuild . -t wakeword && docker r run -it --rm -p 8080:8080 -e MICROWAKEWORD_TRAIN_BATCH=256 localhost/wakeword -c "hey eyeball" |
gtjoseph
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Dec 2, 2025
gtjoseph
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gtjoseph
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Thanks for this! I tried it on my Core i7-6950X and training only took about 20 minutes. The model was just a bit too big to load on a Home Assistant Voice PE so I'm tweaking it a bit.
| MICROWAKEWORD_VOICE_CONFIG_URL="https://huggingface.co/rhasspy/piper-voices/resolve/v1.0.0/en/en_US/lessac/medium/en_US-lessac-medium.onnx.json?download=true" | ||
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| ENV MICROWAKEWORD_VOICE_MODEL="${MICROWAKEWORD_VOICE_DIR}/${MICROWAKEWORD_VOICE_MODEL_NAME}" \ | ||
| MICROWAKEWORD_VOICE_CONFIG="${MICROWAKEWORD_VOICE_MODEL}.json" |
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You can't use MICROWAKEWORD_VOICE_MODEL here because it's in the same ENV statement that created it. The result is .json and it gets fetched into /app.
It needs to be...
ENV MICROWAKEWORD_VOICE_MODEL="${MICROWAKEWORD_VOICE_DIR}/${MICROWAKEWORD_VOICE_MODEL_NAME}"
ENV MICROWAKEWORD_VOICE_CONFIG="${MICROWAKEWORD_VOICE_MODEL}.json"
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