minor changes

example/audio_classification/android/build.gradle

@@ -6,7 +6,7 @@ buildscript {
     }
 
     dependencies {
-        classpath 'com.android.tools.build:gradle:4.1.0'
+        classpath 'com.android.tools.build:gradle:4.2.0'
         classpath "org.jetbrains.kotlin:kotlin-gradle-plugin:$kotlin_version"
     }
 }

example/audio_classification/android/gradle/wrapper/gradle-wrapper.properties

@@ -3,4 +3,4 @@ distributionBase=GRADLE_USER_HOME
 distributionPath=wrapper/dists
 zipStoreBase=GRADLE_USER_HOME
 zipStorePath=wrapper/dists
-distributionUrl=https\://services.gradle.org/distributions/gradle-6.7-all.zip
+distributionUrl=https\://services.gradle.org/distributions/gradle-6.7.1-all.zip

example/audio_classification/lib/classifier.dart

@@ -1,5 +1,6 @@
 import 'dart:typed_data';
 
+import 'package:audio_classification/main.dart';
 import 'package:flutter/services.dart';
 import 'package:collection/collection.dart';
 import 'package:tflite_flutter/tflite_flutter.dart';
@@ -56,7 +57,8 @@ class Classifier {
   Category predict(List<int> audioSample) {
     final pres = DateTime.now().millisecondsSinceEpoch;
     Uint8List bytes = Uint8List.fromList(audioSample);
-    TensorAudio tensorAudio = TensorAudio.create(TensorAudioFormat.create(1, _inputShape[0]), _inputShape[0]);
+    TensorAudio tensorAudio = TensorAudio.create(
+        TensorAudioFormat.create(1, sampleRate), _inputShape[0]);
     tensorAudio.loadShortBytes(bytes);
     final pre = DateTime.now().millisecondsSinceEpoch - pres;
     print('Time to load audio tensor: $pre ms');
@@ -65,30 +67,35 @@ class Classifier {
     print(tensorAudio.tensorBuffer.getShape());
 
     final runs = DateTime.now().millisecondsSinceEpoch;
-    interpreter.run(tensorAudio.tensorBuffer.getBuffer(), _outputBuffer.getBuffer());
+    interpreter.run(
+        tensorAudio.tensorBuffer.getBuffer(), _outputBuffer.getBuffer());
     final run = DateTime.now().millisecondsSinceEpoch - runs;
 
     print(_outputBuffer.getDoubleList());
     Map<String, double> labeledProb = {};
-    for(int i = 0; i < _outputBuffer.getDoubleList().length; i++) {
+    for (int i = 0; i < _outputBuffer.getDoubleList().length; i++) {
       labeledProb[labels[i]!] = _outputBuffer.getDoubleValue(i);
     }
     final top = getTopProbability(labeledProb);
     print(top);
     print('Time to run inference: $run ms');
-    return Category(top.key, top.value);
+    return top.first;
   }
 
   void close() {
     interpreter.close();
   }
 }
 
-MapEntry<String, double> getTopProbability(Map<String, double> labeledProb) {
+List<Category> getTopProbability(Map<String, double> labeledProb) {
   var pq = PriorityQueue<MapEntry<String, double>>(compare);
   pq.addAll(labeledProb.entries);
-
-  return pq.first;
+  var result = <Category>[];
+  for (int i = 0; i < 5; i++) {
+    result.add(Category(pq.first.key, pq.first.value));
+    pq.removeFirst();
+  }
+  return result;
 }
 
 int compare(MapEntry<String, double> e1, MapEntry<String, double> e2) {

example/audio_classification/lib/main.dart

@@ -73,8 +73,7 @@ class _MyAppState extends State<MyApp> {
     await session.configure(AudioSessionConfiguration.speech());
     // Listen to errors during playback.
     _player.playbackEventStream.listen(
-      (event) {
-      },
+      (event) {},
       onError: (Object e, StackTrace stackTrace) {
         print('A stream error occurred: $e');
       },
@@ -99,24 +98,37 @@ class _MyAppState extends State<MyApp> {
     return MaterialApp(
       home: Scaffold(
         appBar: AppBar(
-          title: const Text('Audio Classification'),
+          backgroundColor: Colors.orange,
+          title: const Text(
+            'TFL Audio Classification',
+            style: TextStyle(color: Colors.white),
+          ),
         ),
         body: Column(
           mainAxisAlignment: MainAxisAlignment.center,
           children: [
             Row(
               mainAxisAlignment: MainAxisAlignment.spaceAround,
               children: [
-                IconButton(
-                  iconSize: 64.0,
-                  icon: Icon(_isRecording ? Icons.mic_off : Icons.mic),
-                  onPressed: _isRecording ? () {
-                    _recorder.stop();
-                    _loadMicChunks();
-                  } : () {
-                    _micChunks = [];
-                    _recorder.start();
-                  },
+                Column(
+                  children: [
+                    IconButton(
+                      iconSize: 64.0,
+                      icon: Icon(_isRecording ? Icons.mic_off : Icons.mic),
+                      onPressed: _isRecording
+                          ? () {
+                              _recorder.stop();
+                              _loadMicChunks();
+                            }
+                          : () {
+                              _micChunks = [];
+                              _recorder.start();
+                            },
+                    ),
+                    Text(
+                      'Record',
+                    ),
+                  ],
                 ),
                 StreamBuilder<PlayerState>(
                   stream: _player.playerStateStream,
@@ -166,17 +178,20 @@ class _MyAppState extends State<MyApp> {
                 child: Text("Predict"),
               ),
             ),
-            if(prediction != null)
-            Padding(
-              padding: const EdgeInsets.all(32.0),
-              child: Column(
-                children: [
-                  Text(prediction!.label, style: TextStyle(fontWeight: FontWeight.bold),),
-                  SizedBox(height: 4),
-                  Text(prediction!.score.toString()),
-                ],
+            if (prediction != null)
+              Padding(
+                padding: const EdgeInsets.all(32.0),
+                child: Column(
+                  children: [
+                    Text(
+                      prediction!.label,
+                      style: TextStyle(fontWeight: FontWeight.bold),
+                    ),
+                    SizedBox(height: 4),
+                    Text(prediction!.score.toString()),
+                  ],
+                ),
               ),
-            ),
           ],
         ),
       ),

example/audio_classification/pubspec.lock

@@ -290,9 +290,9 @@ packages:
   tflite_flutter:
     dependency: transitive
     description:
-      name: tflite_flutter
-      url: "https://pub.dartlang.org"
-    source: hosted
+      path: "../../../tflite_flutter_plugin"
+      relative: true
+    source: path
     version: "0.9.0"
   tflite_flutter_helper:
     dependency: "direct main"