feat: wip on implementing gemini analyzer

2025-07-31 00:10:27 -05:00
parent f6773cb64e
commit d7a953f187
10 changed files with 162 additions and 85 deletions
@@ -38,89 +38,6 @@ finally
  await Log.CloseAndFlushAsync();
 }

-// // Step 3: Split the wave stream into 2 minute segments
-// waveStream.Position = 0;
-// var segmentDuration = TimeSpan.FromMinutes(2);
-// var segments = new List<MemoryStream>();
-// using var waveReader = new WaveFileReader(waveStream);
-// var segmentCount = (int)Math.Ceiling(waveReader.TotalTime.TotalMilliseconds / segmentDuration.TotalMilliseconds);
-
-// Directory.CreateDirectory("segments");
-
-// foreach (var i in Enumerable.Range(0, segmentCount))
-// {
-//   waveStream.Position = 0;
-//   using var segmentWaveReader = new WaveFileReader(waveStream);
-//   var segment = segmentWaveReader.ToSampleProvider()
-//     .Skip(i * segmentDuration)
-//     .Take(segmentDuration);
-//   var segmentProvider = segment.ToWaveProvider16();
-//   var segmentStream = new MemoryStream();
-//   WaveFileWriter.WriteWavFileToStream(segmentStream, segmentProvider);
-//   segmentStream.Position = 0;
-//   segments.Add(segmentStream);
-// }
-
-// // Step 4: Transcribe each segment using Whisper
-// using var modelMemoryStream = new MemoryStream();
-// var model = await WhisperGgmlDownloader.Default.GetGgmlModelAsync(GgmlType.TinyEn);
-// await model.CopyToAsync(modelMemoryStream);
-// var whisperFactory = WhisperFactory.FromBuffer(modelMemoryStream.ToArray());
-// using var whisperProcessor = whisperFactory.CreateBuilder()
-//   .WithLanguage("en")
-//   .Build();
-
-// var completeTranscription = new StringBuilder();
-
-// foreach (var (i, segment) in segments.Select((s, index) => (index, s)))
-// {
-//   var durationOffset = TimeSpan.FromMilliseconds(i * segmentDuration.TotalMilliseconds);
-//   var segmentTranscription = new StringBuilder();
-
-//   await foreach (var result in whisperProcessor.ProcessAsync(segment, CancellationToken.None))
-//   {
-//     var startTime = result.Start + durationOffset;
-//     var endTime = result.End + durationOffset;
-//     segmentTranscription.AppendLine(CultureInfo.CurrentCulture, $"[{startTime:hh\\:mm\\:ss} - {endTime:hh\\:mm\\:ss}] {result.Text}");
-//   }
-
-//   completeTranscription.Append(segmentTranscription);
-// }
-
-// // Step 5: Send the transcription to LLM for analysis
-// // TODO: Explore this prompt further...seems break
-// // when transcription is long
-// var prompt = $$"""
-// I need your help to transform my YouTube live stream transcript into engaging YouTube Shorts. Act as my content editor and pinpoint **all potential candidate segments** that are perfect for short-form video. I'm looking for clips that are:
-
-//   * **Funny:** Moments that will make viewers laugh.
-//   * **Informative:** Sections packed with valuable information or tips.
-//   * **Insightful:** Portions offering unique perspectives or 'aha\!' moments.
-
-// For each suggested short, please provide:
-
-//   * The **start time** of the initial segment and the **end time** of the final segment. The duration of each short should be no longer than 3 minutes, but **aim for durations between 15 seconds and 60 seconds**. However, the short **must be as long as necessary to capture the complete thought or idea**, even if it means exceeding the target range or extending slightly to capture all necessary dialogue.
-//   * A concise **title** that grabs attention.
-//   * A brief **description** highlighting the short's content and its appeal.
-//   * An **explanation** of why this particular segment is suitable for a YouTube Short, focusing on its potential for discoverability and engagement.
-
-// Please format your response as a JSON array of objects with the following structure:
-
-// ```json
-// {
-//   ""title"": ""string"",
-//   "start_time": "string",
-//   "end_time": "string",
-//   "description": "string",
-//   "explanation": "string"
-// }
-// ```
-
-// Here is the transcript of my YouTube live stream:
-
-// {{completeTranscription}}
-// """;
-
 // if (string.IsNullOrWhiteSpace(apiKey))
 // {
 //   throw new InvalidOperationException("GeminiApiKey is not configured in appsettings.json.");