Removed continuous recognition example and replaced it with a link th…

…e echosharp (#309)

examples/ContinuousRecognition/Program.cs

@@ -1,143 +1,4 @@
 // Licensed under the MIT license: https://opensource.org/licenses/MIT
 
-using Whisper.net;
-using Whisper.net.Ggml;
-using Whisper.net.Wave;
-
-var ggmlType = GgmlType.TinyEn;
-var modelFileName = "ggml-tinyen.bin";
-var wavFileName = "bush.wav";
-
-var maxProcessingTimeMs = 10000;
-var minProcessingTimeMs = 1500;
-var advancingProcessingTimeMs = 500;
-
-if (!File.Exists(modelFileName))
-{
-    await DownloadModel(modelFileName, ggmlType);
-}
-
-using var whisperFactory = WhisperFactory.FromPath(modelFileName);
-
-var builder = whisperFactory.CreateBuilder()
-    .WithProbabilities()
-    .WithLanguage("en");
-
-using var fileStream = File.OpenRead(wavFileName);
-var waveParser = new WaveParser(fileStream);
-await waveParser.InitializeAsync();
-
-var samples = new float[waveParser.SampleRate / 1000 * maxProcessingTimeMs];
-
-// Process first the minimum processing time of the audio file 
-
-// Read first min processing time into samples
-var dataPosition = waveParser.DataChunkPosition;
-
-fileStream.Seek(dataPosition, SeekOrigin.Begin);
-
-var partialResults = new List<(List<SegmentData> segments, TimeSpan startTime, TimeSpan endTime)>();
-var buffer = new byte[waveParser.SampleRate / 1000 * maxProcessingTimeMs * 2 * waveParser.Channels];
-
-var bufferSize = waveParser.SampleRate / 1000 * minProcessingTimeMs * 2 * waveParser.Channels;
-
-var bytesRead = await fileStream.ReadAsync(buffer.AsMemory(0, (int)bufferSize));
-
-var currentSampleIndex = 0;
-
-for (var i = 0; i < bytesRead;)
-{
-    long sampleSum = 0;
-
-    for (var currentChannel = 0; currentChannel < waveParser.Channels; currentChannel++)
-    {
-        sampleSum += BitConverter.ToInt16(buffer, i);
-        i += 2;
-    }
-
-    samples[currentSampleIndex++] = sampleSum / (float)waveParser.Channels / 32768.0f;
-}
-
-var currentProcessedStartTime = TimeSpan.Zero;
-var currentProcessedEndTime = TimeSpan.FromMilliseconds(minProcessingTimeMs);
-
-await using (var processor = builder.Build())
-{
-    var segments = new List<SegmentData>();
-    await foreach (var data in processor.ProcessAsync(samples.AsMemory(0, currentSampleIndex)))
-    {
-        segments.Add(data);
-
-    }
-    partialResults.Add((segments, currentProcessedStartTime, currentProcessedEndTime));
-}
-
-var fullText = string.Empty;
-
-while (currentSampleIndex < waveParser.SamplesCount)
-{
-    bufferSize = waveParser.SampleRate / 1000 * advancingProcessingTimeMs * 2 * waveParser.Channels;
-
-    bytesRead = await fileStream.ReadAsync(buffer.AsMemory(0, (int)bufferSize));
-    for (var i = 0; i < bytesRead;)
-    {
-        long sampleSum = 0;
-
-        for (var currentChannel = 0; currentChannel < waveParser.Channels; currentChannel++)
-        {
-            sampleSum += BitConverter.ToInt16(buffer, i);
-            i += 2;
-        }
-
-        samples[currentSampleIndex++] = sampleSum / (float)waveParser.Channels / 32768.0f;
-    }
-
-    currentProcessedEndTime = currentProcessedEndTime.Add(TimeSpan.FromMilliseconds(advancingProcessingTimeMs));
-
-    await using (var processor = builder.Build())
-    {
-        var segments = new List<SegmentData>();
-        await foreach (var data in processor.ProcessAsync(samples.AsMemory(0, currentSampleIndex)))
-        {
-            segments.Add(data);
-        }
-        partialResults.Add((segments, currentProcessedStartTime, currentProcessedEndTime));
-
-        var indexSegment = 0;
-        foreach (var segment in segments)
-        {
-            Console.WriteLine($"{indexSegment}: {segment.Start}->{segment.End}: {segment.Text}  => with probability: {segment.Probability}");
-            indexSegment++;
-        }
-    }
-
-    var indexPartial = 0;
-    //TODO: Check if partials concluded to one finished segment and return it.
-    foreach (var partial in partialResults)
-    {
-      //  Console.WriteLine(indexPartial + ":" + partial.startTime + " - " + partial.endTime + " " + partial.segments.Count + " segments\n-----------");
-        indexPartial++;
-        // If one segment is identified. E.g. "My fellow Americans" from second 0 to second 3 => we remove that part from the samples, adding the text to the prompt and continue processing the rest of the samples.
-    }
-
-    // If the total current processing time is reaching max processing time => we remove half of the samples and continue processing the rest of the samples.
-    if (currentProcessedEndTime.TotalMilliseconds - currentProcessedStartTime.TotalMilliseconds >= maxProcessingTimeMs)
-    {
-        // First, we copy the last part of the samples to the beginning of the array
-        var samplesToCopy = currentSampleIndex - maxProcessingTimeMs / 2;
-        for (var i = 0; i < samplesToCopy; i++)
-        {
-            samples[i] = samples[i + maxProcessingTimeMs / 2];
-        }
-        currentProcessedStartTime = currentProcessedStartTime.Add(TimeSpan.FromMilliseconds(maxProcessingTimeMs / 2));
-        currentSampleIndex = samplesToCopy;
-    }
-}
-
-static async Task DownloadModel(string fileName, GgmlType ggmlType)
-{
-    Console.WriteLine($"Downloading Model {fileName}");
-    using var modelStream = await WhisperGgmlDownloader.GetGgmlModelAsync(ggmlType);
-    using var fileWriter = File.OpenWrite(fileName);
-    await modelStream.CopyToAsync(fileWriter);
-}
+// This example was moved to echo sharp to allow better real-time transcription using VAD components, see: https://github.com/sandrohanea/echosharp
+Console.WriteLine("Moved to https://github.com/sandrohanea/echosharp");