2024-06-12 09:52:36 +08:00
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# Whisper Flutter New
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Ready to use [whisper.cpp](https://github.com/ggerganov/whisper.cpp) models implementation for iOS
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and Android
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1. Support AGP8+
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2. Support Android 5.0+ & iOS 13+ & MacOS 11+
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3. It is optimized and fast
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Supported models: tiny、base、small、medium、large-v1、large-v2
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Recommended Models：base、small、medium
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All models have been actually tested, test devices: Android: Google Pixel 7 Pro, iOS: M1 iOS
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simulator，MacOS: M1 MacBookPro & M2 MacMini
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## Install library
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```bash
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flutter pub add whisper_flutter_new
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```
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## import library
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```dart
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import 'package:whisper_flutter_new/whisper_flutter_new.dart';
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```
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## Quickstart
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```dart
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// Prepare wav file
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final Directory documentDirectory = await getApplicationDocumentsDirectory();
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final ByteData documentBytes = await rootBundle.load('assets/jfk.wav');
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final String jfkPath = '${documentDirectory.path}/jfk.wav';
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await File(jfkPath).writeAsBytes(
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documentBytes.buffer.asUint8List(),
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);
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// Begin whisper transcription
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/// China: https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main
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/// Other: https://huggingface.co/ggerganov/whisper.cpp/resolve/main
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final Whisper whisper = Whisper(
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model: WhisperModel.base,
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downloadHost: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main"
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);
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final String? whisperVersion = await whisper.getVersion();
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print(whisperVersion);
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final String transcription = await whisper.transcribe(
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transcribeRequest: TranscribeRequest(
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audio: jfkPath,
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isTranslate: true, // Translate result from audio lang to english text
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isNoTimestamps: false, // Get segments in result
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splitOnWord: true, // Split segments on each word
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),
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);
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print(transcription);
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```
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