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authorJan-Simon Moeller <jsmoeller@linuxfoundation.org>2025-01-13 12:01:36 +0100
committerJan-Simon Moeller <jsmoeller@linuxfoundation.org>2025-01-14 09:02:26 +0000
commit3c3ba5e5927ac5607439f18f95f09592519053a1 (patch)
treeaf4c00d740033dc8a623148a108cca43fbb75811 /docs/06_Component_Documentation/10_agl_voice_agent_assistant.md
parentd511041028a87e8569c98dfb2f4e034563973f3f (diff)
Update the documentation after branching for Milestone 3. Bug-AGL: SPEC-5333 Signed-off-by: Jan-Simon Moeller <jsmoeller@linuxfoundation.org> Change-Id: I04aa470eb53ed937e893445b4b029e24a7b8d12b Reviewed-on: https://gerrit.automotivelinux.org/gerrit/c/AGL/documentation/+/30759
Diffstat (limited to 'docs/06_Component_Documentation/10_agl_voice_agent_assistant.md')
-rw-r--r--docs/06_Component_Documentation/10_agl_voice_agent_assistant.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/06_Component_Documentation/10_agl_voice_agent_assistant.md b/docs/06_Component_Documentation/10_agl_voice_agent_assistant.md
index e75382e..7c09f23 100644
--- a/docs/06_Component_Documentation/10_agl_voice_agent_assistant.md
+++ b/docs/06_Component_Documentation/10_agl_voice_agent_assistant.md
@@ -11,12 +11,12 @@ Note: RASA NLU is currently not available as it is not supported by Python 3.12,
# Installation and Usage
-Before diving into the detailed components documentation, let's first look at how to install and use the voice agent service. All of the features of the voice agent service are encapsulated in the `meta-offline-voice-agent` sub-layer, which can be found under the `meta-agl-devel layer`. These features are currently available in the `master` branch only. You can build this sub-layer into the final image using the following commands:
+Before diving into the detailed components documentation, let's first look at how to install and use the voice agent service. All of the features of the voice agent service are encapsulated in the `meta-offline-voice-agent` sub-layer, which can be found under the `meta-agl-devel layer`. You can build this sub-layer into the final image using the following commands:
### Building for QEMU x86-64
```shell
-$ source master/meta-agl/scripts/aglsetup.sh -m qemux86-64 -b build-master agl-demo agl-devel agl-offline-voice-agent
+$ source salmon/meta-agl/scripts/aglsetup.sh -m qemux86-64 -b build-salmon agl-demo agl-devel agl-offline-voice-agent
$ source agl-init-build-env
$ bitbake agl-ivi-demo-flutter
```
@@ -26,7 +26,7 @@ $ bitbake agl-ivi-demo-flutter
Whisper AI does not work on the emulator; therefore, building and running on a physical device like the Raspberry Pi 5 is recommended. You can set up the build environment specifically for Raspberry Pi 5 using:
```shell
-$ source master/meta-agl/scripts/aglsetup.sh -m raspberrypi5 -b build-master agl-demo agl-devel agl-offline-voice-agent
+$ source salmon/meta-agl/scripts/aglsetup.sh -m raspberrypi5 -b build-salmon agl-demo agl-devel agl-offline-voice-agent
$ source agl-init-build-env
$ bitbake agl-ivi-demo-flutter
```