hostname

README.md

@@ -53,10 +53,10 @@ VLM_ENABLED=true
 Then copy RKLLM assets into the `rkllm-root` volume (one-time):
 
 ```bash
-docker volume create rk-whisper-stt-api_rkllm-root
+docker volume create rkllm-root
 
 docker run --rm \
-  -v rk-whisper-stt-api_rkllm-root:/dst \
+  -v rkllm-root:/dst \
   -v /home/ubuntu/rkllm-demo:/src:ro \
   alpine:3.20 \
   sh -c 'cp -r /src/models /dst/ && mkdir -p /dst/quickstart && cp -r /src/quickstart/demo_Linux_aarch64 /dst/quickstart/'
@@ -89,7 +89,7 @@ docker push registry.lan/openai-whisper-stt:latest
 
 ```bash
 cp .env.example .env
-# edit STT_NODE_HOSTNAME to the target node
+# edit STT_NODE_HOSTNAME to match your target node (e.g. tpi-n2)
 docker stack deploy -c stack.yml whisper-stt
 ```