128 lines
4 KiB
C#
128 lines
4 KiB
C#
using BotSharp.Core.Agents.Services;
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using Whisper.net;
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using Whisper.net.Ggml;
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namespace BotSharp.Plugin.AudioHandler.Provider;
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/// <summary>
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/// Native Whisper provider for speech to text conversion
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/// </summary>
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public class NativeWhisperProvider : ISpeechToText
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{
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public string Provider => "native";
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private readonly IAudioProcessUtilities _audioProcessUtilities;
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private static WhisperProcessor _processor;
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private readonly ILogger _logger;
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private string MODEL_DIR = "model";
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private string? _currentModelPath;
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private Dictionary<GgmlType, string> _modelPathDict = new Dictionary<GgmlType, string>();
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private GgmlType? _modelType;
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public NativeWhisperProvider(
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IAudioProcessUtilities audioProcessUtilities,
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ILogger<NativeWhisperProvider> logger)
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{
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_audioProcessUtilities = audioProcessUtilities;
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_logger = logger;
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}
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public async Task<string> GenerateTextFromAudioAsync(string filePath)
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{
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string fileExtension = Path.GetExtension(filePath);
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if (!Enum.TryParse<AudioType>(fileExtension.TrimStart('.').ToLower(), out AudioType audioType))
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{
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throw new Exception($"Unsupported audio type: {fileExtension}");
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}
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using var stream = _audioProcessUtilities.ConvertToStream(filePath);
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if (stream == null)
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{
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throw new Exception($"Failed to convert {fileExtension} to stream");
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}
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var textResult = new List<SegmentData>();
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await foreach (var result in _processor.ProcessAsync((Stream)stream).ConfigureAwait(false))
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{
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textResult.Add(result);
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}
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_processor.Dispose();
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var audioOutput = new AudioOutput
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{
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Segments = textResult
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};
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return audioOutput.ToString();
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}
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private async Task LoadWhisperModel(GgmlType modelType)
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{
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try
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{
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if (!Directory.Exists(MODEL_DIR))
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Directory.CreateDirectory(MODEL_DIR);
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var availableModelPaths = Directory.GetFiles(MODEL_DIR, "*.bin")
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.ToArray();
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if (!availableModelPaths.Any())
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{
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_currentModelPath = SetModelPath(MODEL_DIR, modelType);
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await DownloadModel(modelType, _currentModelPath);
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}
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else
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{
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var modelFilePath = availableModelPaths.FirstOrDefault(x => Path.GetFileName(x) == $"ggml-{modelType}.bin");
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if (modelFilePath == null)
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{
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_currentModelPath = SetModelPath(MODEL_DIR, modelType);
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await DownloadModel(modelType, _currentModelPath);
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}
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else
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{
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_currentModelPath = modelFilePath;
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}
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}
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_processor = WhisperFactory
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.FromPath(path: _currentModelPath)
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.CreateBuilder()
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.WithLanguage("auto")
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.Build();
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_modelType = modelType;
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}
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catch (Exception ex)
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{
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throw new Exception($"Failed to load whisper model: {ex.Message}");
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}
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}
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private async Task DownloadModel(GgmlType modelType, string modelDir)
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{
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using var modelStream = await WhisperGgmlDownloader.GetGgmlModelAsync(modelType);
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using var fileWriter = File.OpenWrite(modelDir);
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await modelStream.CopyToAsync(fileWriter);
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}
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private string SetModelPath(string rootPath, GgmlType modelType)
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{
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string currentModelPath = Path.Combine(rootPath, $"ggml-{modelType}.bin");
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return currentModelPath;
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}
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public async Task SetModelName(string modelType)
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{
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if (Enum.TryParse<GgmlType>(modelType, true, out GgmlType ggmlType))
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{
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await LoadWhisperModel(ggmlType);
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return;
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}
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_logger.LogWarning($"Unsupported model type: {modelType}. Use Tiny model instead!");
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await LoadWhisperModel(GgmlType.Tiny);
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}
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}
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