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Merge pull request #5 from Picovoice/android-llm-va
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Android LLM Voice Assistant
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ErisMik authored Jun 6, 2024
2 parents 1c1765d + 91a7285 commit 517c503
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30 changes: 30 additions & 0 deletions .github/workflows/java-codestyle.yml
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name: Java CodeStyle

on:
workflow_dispatch:
push:
branches: [ master ]
paths:
- '**/*.java'
- 'res/.lint/java/**'
pull_request:
branches: [ master, 'v[0-9]+.[0-9]+' ]
paths:
- '**/*.java'
- 'res/.lint/java/**'

jobs:
check-java-codestyle:
runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v3

- name: Set up JDK 11
uses: actions/setup-java@v3
with:
java-version: '11'
distribution: 'temurin'

- name: Check Java CodeStyle
run: java -Dconfig_loc=res/.lint/java/ -jar res/.lint/java/checkstyle-10.5.0-all.jar -c res/.lint/java/checkstyle.xml recipes/llm-voice-assistant/android
3 changes: 2 additions & 1 deletion recipes/llm-voice-assistant/README.md
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Expand Up @@ -12,5 +12,6 @@ Hands-free voice assistant powered by a large language model (LLM), all voice re
## Implementations

- [Python](python)
- [Web](web)
- [Android](android)
- [iOS](ios)
- [Web](web)
10 changes: 10 additions & 0 deletions recipes/llm-voice-assistant/android/.gitignore
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*.iml
.gradle
/local.properties
/.idea/
.DS_Store
/build
/captures
.externalNativeBuild
release
test_resources
69 changes: 69 additions & 0 deletions recipes/llm-voice-assistant/android/README.md
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## See It In Action!

[![LLM VA in Action](https://img.youtube.com/vi/5JkDVbkedBU/0.jpg)](https://www.youtube.com/watch?v=5JkDVbkedBU)

## Compatibility

- Android 5.0 (SDK 21+)

## AccessKey

AccessKey is your authentication and authorization token for deploying Picovoice SDKs, including picoLLM. Anyone who is
using Picovoice needs to have a valid AccessKey. You must keep your AccessKey secret. You would need internet
connectivity to validate your AccessKey with Picovoice license servers even though the LLM inference is running 100%
offline and completely free for open-weight models. Everyone who signs up for
[Picovoice Console](https://console.picovoice.ai/) receives a unique AccessKey.

## picoLLM Model

picoLLM Inference Engine supports a variety of open-weight models. The models can be downloaded from the [Picovoice Console](https://console.picovoice.ai/).

Download your desired model file (`.pllm`) from the Picovoice Console. If you do not download the
file directly from your Android device, you will need to upload it to the device.
To upload the model to the device, use the Android Studio Device Explorer or `adb push`:
```console
adb push ~/model.pllm /sdcard/Downloads/
```

## Usage

1. Open the `LLMVoiceAssistant` project in Android Studio.
2. Copy your `AccessKey` from Picovoice Console into the `ACCESS_KEY` variable in [MainActivity.java](llm-voice-assistant/src/main/java/ai/picovoice/llmvoiceassistant/MainActivity.java).
3. Connect a device or launch an Android simulator.
4. Build and run the demo.
5. Press the `Load Model` button and select the model file (`.pllm`) from your device's storage.
6. Say "Picovoice", then you'll be able to prompt the voice assistant.

## Custom Wake Word

The demo's default wake phrase is `Picovoice`. You can generate your custom (branded) wake word using
Picovoice Console by following [Porcupine Wake Word documentation (https://picovoice.ai/docs/porcupine/).
Once you have the model trained, add it to your project by following these steps:

1. Download the custom wake word file (`.ppn`)
2. Add it to the `${ANDROID_APP}/src/main/assets` directory of your Android project
3. Create an instance of Porcupine using the .setKeywordPaths builder method and the keyword path (relative to the assets directory or absolute path to the file on device):

```java
porcupine = new Porcupine.Builder()
.setAccessKey("${ACCESS_KEY}")
.setKeywordPath("${KEYWORD_FILE_PATH}")
.build(getApplicationContext());
```

## Profiling

Profiling data is automatically printed in the app's `logcat`.

### Real-time Factor (RTF)

RTF is a standard metric for measuring the speed of speech processing (e.g., wake word, speech-to-text, and
text-to-speech). RTF is the CPU time divided by the processed (recognized or synthesized) audio length.
Hence, a lower RTF means a more efficient engine.

### Token per Second (TPS)

Token per second is the standard metric for measuring the speed of LLM inference engines. TPS is the number of
generated tokens divided by the compute time used to create them. A higher TPS is better.


24 changes: 24 additions & 0 deletions recipes/llm-voice-assistant/android/build.gradle
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ext {
defaultTargetSdkVersion = 33
}

buildscript {
repositories {
google()
mavenCentral()
}
dependencies {
classpath 'com.android.tools.build:gradle:7.4.2'
}
}

allprojects {
repositories {
google()
mavenCentral()
}
}

tasks.register('clean', Delete) {
delete rootProject.buildDir
}
17 changes: 17 additions & 0 deletions recipes/llm-voice-assistant/android/gradle.properties
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# Project-wide Gradle settings.
# IDE (e.g. Android Studio) users:
# Gradle settings configured through the IDE *will override*
# any settings specified in this file.
# For more details on how to configure your build environment visit
# http://www.gradle.org/docs/current/userguide/build_environment.html
# Specifies the JVM arguments used for the daemon process.
# The setting is particularly useful for tweaking memory settings.
org.gradle.jvmargs=-Xmx4096m -Dfile.encoding=UTF-8
# When configured, Gradle will run in incubating parallel mode.
# This option should only be used with decoupled projects. More details, visit
# http://www.gradle.org/docs/current/userguide/multi_project_builds.html#sec:decoupled_projects
# org.gradle.parallel=true
# AndroidX package structure to make it clearer which packages are bundled with the
# Android operating system, and which are packaged with your app"s APK
# https://developer.android.com/topic/libraries/support-library/androidx-rn
android.useAndroidX=true
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#Tue Jun 29 23:02:09 PDT 2021
distributionBase=GRADLE_USER_HOME
distributionUrl=https\://services.gradle.org/distributions/gradle-7.5-bin.zip
distributionPath=wrapper/dists
zipStorePath=wrapper/dists
zipStoreBase=GRADLE_USER_HOME
172 changes: 172 additions & 0 deletions recipes/llm-voice-assistant/android/gradlew
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#!/usr/bin/env sh

##############################################################################
##
## Gradle start up script for UN*X
##
##############################################################################

# Attempt to set APP_HOME
# Resolve links: $0 may be a link
PRG="$0"
# Need this for relative symlinks.
while [ -h "$PRG" ] ; do
ls=`ls -ld "$PRG"`
link=`expr "$ls" : '.*-> \(.*\)$'`
if expr "$link" : '/.*' > /dev/null; then
PRG="$link"
else
PRG=`dirname "$PRG"`"/$link"
fi
done
SAVED="`pwd`"
cd "`dirname \"$PRG\"`/" >/dev/null
APP_HOME="`pwd -P`"
cd "$SAVED" >/dev/null

APP_NAME="Gradle"
APP_BASE_NAME=`basename "$0"`

# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
DEFAULT_JVM_OPTS=""

# Use the maximum available, or set MAX_FD != -1 to use that value.
MAX_FD="maximum"

warn () {
echo "$*"
}

die () {
echo
echo "$*"
echo
exit 1
}

# OS specific support (must be 'true' or 'false').
cygwin=false
msys=false
darwin=false
nonstop=false
case "`uname`" in
CYGWIN* )
cygwin=true
;;
Darwin* )
darwin=true
;;
MINGW* )
msys=true
;;
NONSTOP* )
nonstop=true
;;
esac

CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar

# Determine the Java command to use to start the JVM.
if [ -n "$JAVA_HOME" ] ; then
if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
# IBM's JDK on AIX uses strange locations for the executables
JAVACMD="$JAVA_HOME/jre/sh/java"
else
JAVACMD="$JAVA_HOME/bin/java"
fi
if [ ! -x "$JAVACMD" ] ; then
die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
fi
else
JAVACMD="java"
which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
fi

# Increase the maximum file descriptors if we can.
if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
MAX_FD_LIMIT=`ulimit -H -n`
if [ $? -eq 0 ] ; then
if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
MAX_FD="$MAX_FD_LIMIT"
fi
ulimit -n $MAX_FD
if [ $? -ne 0 ] ; then
warn "Could not set maximum file descriptor limit: $MAX_FD"
fi
else
warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT"
fi
fi

# For Darwin, add options to specify how the application appears in the dock
if $darwin; then
GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
fi

# For Cygwin, switch paths to Windows format before running java
if $cygwin ; then
APP_HOME=`cygpath --path --mixed "$APP_HOME"`
CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
JAVACMD=`cygpath --unix "$JAVACMD"`

# We build the pattern for arguments to be converted via cygpath
ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`
SEP=""
for dir in $ROOTDIRSRAW ; do
ROOTDIRS="$ROOTDIRS$SEP$dir"
SEP="|"
done
OURCYGPATTERN="(^($ROOTDIRS))"
# Add a user-defined pattern to the cygpath arguments
if [ "$GRADLE_CYGPATTERN" != "" ] ; then
OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)"
fi
# Now convert the arguments - kludge to limit ourselves to /bin/sh
i=0
for arg in "$@" ; do
CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -`
CHECK2=`echo "$arg"|egrep -c "^-"` ### Determine if an option

if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition
eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"`
else
eval `echo args$i`="\"$arg\""
fi
i=$((i+1))
done
case $i in
(0) set -- ;;
(1) set -- "$args0" ;;
(2) set -- "$args0" "$args1" ;;
(3) set -- "$args0" "$args1" "$args2" ;;
(4) set -- "$args0" "$args1" "$args2" "$args3" ;;
(5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
(6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
(7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
(8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
(9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
esac
fi

# Escape application args
save () {
for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
echo " "
}
APP_ARGS=$(save "$@")

# Collect all arguments for the java command, following the shell quoting and substitution rules
eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"

# by default we should be in the correct project dir, but when run from Finder on Mac, the cwd is wrong
if [ "$(uname)" = "Darwin" ] && [ "$HOME" = "$PWD" ]; then
cd "$(dirname "$0")"
fi

exec "$JAVACMD" "$@"
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