chore: update dependencies

README.md

@@ -56,7 +56,7 @@ Sample app: [Audio Classification](https://github.com/am15h/tflite_flutter_helpe
 // Create a container for the result and specify that this is a quantized model.
 // Hence, the 'DataType' is defined as UINT8 (8-bit unsigned integer)
 TensorBuffer probabilityBuffer =
-    TensorBuffer.createFixedSize(<int>[1, 1001], TfLiteType.uint8);
+    TensorBuffer.createFixedSize(<int>[1, 1001], TensorType.uint8);
 ```
 
 #### Loading the model and running inference:
@@ -81,7 +81,6 @@ If the model produces a quantized output, remember to convert the result.
 For the MobileNet quantized model, the developer needs to divide each output value by 255
 to obtain the probability ranging from 0 (least likely) to 1 (most likely) for each category.
 
-
 ### Optional: Mapping results to labels
 
 Developers can also optionally map the results to labels. First, copy the text

example/audio_classification/ios/Flutter/Debug.xcconfig

@@ -1 +1,2 @@
+#include? "Pods/Target Support Files/Pods-Runner/Pods-Runner.debug.xcconfig"
 #include "Generated.xcconfig"

example/audio_classification/ios/Flutter/Release.xcconfig

@@ -1 +1,2 @@
+#include? "Pods/Target Support Files/Pods-Runner/Pods-Runner.release.xcconfig"
 #include "Generated.xcconfig"

example/audio_classification/lib/classifier.dart

@@ -1,5 +1,3 @@
-import 'dart:typed_data';
-
 import 'package:audio_classification/main.dart';
 import 'package:flutter/services.dart';
 import 'package:collection/collection.dart';
@@ -15,7 +13,7 @@ class Classifier {
 
   late TensorBuffer _outputBuffer;
 
-  TfLiteType _outputType = TfLiteType.uint8;
+  TensorType _outputType = TensorType.uint8;
 
   final String _modelFileName = 'yamnet.tflite';
   final String _labelFileName = 'assets/yamnet_class_map.csv';
@@ -84,7 +82,9 @@ List<Category> getTopProbability(Map<String, double> labeledProb) {
   var pq = PriorityQueue<MapEntry<String, double>>(compare);
   pq.addAll(labeledProb.entries);
   var result = <Category>[];
-  while (pq.isNotEmpty && result.length < 5 && (pq.first.value > 0.1 || result.length < 3)) {
+  while (pq.isNotEmpty &&
+      result.length < 5 &&
+      (pq.first.value > 0.1 || result.length < 3)) {
     result.add(Category(pq.first.key, pq.first.value));
     pq.removeFirst();
   }

example/audio_classification/lib/main.dart

@@ -1,5 +1,4 @@
 import 'dart:async';
-import 'dart:ui';
 import 'package:audio_classification/classifier.dart';
 import 'package:flutter/material.dart';
 import 'package:random_color/random_color.dart';
@@ -83,7 +82,7 @@ class _MyAppState extends State<MyApp> {
   @override
   Widget build(BuildContext context) {
     return MaterialApp(
-      theme: ThemeData(primaryColor: Colors.orange, accentColor: Colors.orange),
+      theme: ThemeData(primaryColor: Colors.orange),
       home: Scaffold(
         appBar: AppBar(
           title: const Text(