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https://github.com/TaterTotterson/microWakeWord-Trainer-Nvidia-Docker.git
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update readme
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@@ -23,6 +23,7 @@ docker pull ghcr.io/tatertotterson/microwakeword:latest
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docker run -d \
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--gpus all \
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--network host \
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-e REC_PORT=8789 \
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-v $(pwd):/data \
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ghcr.io/tatertotterson/microwakeword:latest
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```
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@@ -31,6 +32,7 @@ The flags:
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- `--gpus all` enables GPU acceleration.
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- `--network host` lets the container receive mDNS/zeroconf traffic for ESPHome auto-detect.
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- `-e REC_PORT=8789` sets the trainer web UI and captured-audio port. Change this value if `8789` is already in use.
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- `-v $(pwd):/data` persists models, downloaded voices, datasets, samples, and firmware caches.
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Host networking is recommended for the Firmware tab's mDNS device discovery. Manual IP flashing and captured-audio uploads can still work without host networking if the trainer port is reachable, but auto-detect may not see devices from Docker bridge networking.
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@@ -41,6 +43,8 @@ Open:
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http://localhost:8789
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```
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If you change `REC_PORT`, open that port instead and use the same port in the ESPHome `Trainer App URL`.
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---
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## What The UI Does
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