54 lines
2.3 KiB
C#
54 lines
2.3 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.AudioToText;
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using Microsoft.SemanticKernel.Connectors.OpenAI;
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using Resources;
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namespace AudioToText;
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/// <summary>
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/// Represents a class that demonstrates audio processing functionality.
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/// </summary>
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public sealed class OpenAI_AudioToText(ITestOutputHelper output) : BaseTest(output)
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{
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private const string AudioToTextModel = "whisper-1";
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private const string AudioFilename = "test_audio.wav";
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[Fact(Skip = "Setup and run TextToAudioAsync before running this test.")]
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public async Task AudioToTextAsync()
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{
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// Create a kernel with OpenAI audio to text service
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var kernel = Kernel.CreateBuilder()
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.AddOpenAIAudioToText(
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modelId: AudioToTextModel,
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apiKey: TestConfiguration.OpenAI.ApiKey)
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.Build();
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var audioToTextService = kernel.GetRequiredService<IAudioToTextService>();
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// Set execution settings (optional)
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OpenAIAudioToTextExecutionSettings executionSettings = new(AudioFilename)
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{
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Language = "en", // The language of the audio data as two-letter ISO-639-1 language code (e.g. 'en' or 'es').
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Prompt = "sample prompt", // An optional text to guide the model's style or continue a previous audio segment.
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// The prompt should match the audio language.
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ResponseFormat = "json", // The format to return the transcribed text in.
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// Supported formats are json, text, srt, verbose_json, or vtt. Default is 'json'.
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Temperature = 0.3f, // The randomness of the generated text.
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// Select a value from 0.0 to 1.0. 0 is the default.
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};
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// Read audio content from a file
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await using var audioFileStream = EmbeddedResource.ReadStream(AudioFilename);
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var audioFileBinaryData = await BinaryData.FromStreamAsync(audioFileStream!);
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AudioContent audioContent = new(audioFileBinaryData, mimeType: null);
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// Convert audio to text
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var textContent = await audioToTextService.GetTextContentAsync(audioContent, executionSettings);
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// Output the transcribed text
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Console.WriteLine(textContent.Text);
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}
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}
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