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Add comprehensive samples for missing Azure.OpenAI APIs (#52137)
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‎sdk/openai/Azure.AI.OpenAI/tests/Samples/04_Audio.cs‎

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// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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#nullable disable
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using System;
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using System.IO;
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using Azure.Identity;
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using OpenAI.Audio;
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namespace Azure.AI.OpenAI.Samples;
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public partial class AzureOpenAISamples
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{
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public void AudioTranscription()
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{
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#region Snippet:AudioTranscription
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AzureOpenAIClient azureClient = new(
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new Uri("https://your-azure-openai-resource.com"),
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new DefaultAzureCredential());
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AudioClient audioClient = azureClient.GetAudioClient("my-whisper-deployment");
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// Load an audio file from your local system
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string audioFilePath = "path/to/your/audio/file.wav";
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// Transcribe the audio to text
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AudioTranscription transcription = audioClient.TranscribeAudio(audioFilePath);
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Console.WriteLine($"Transcribed text: {transcription.Text}");
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#endregion
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}
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public void AudioTranscriptionWithOptions()
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{
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AzureOpenAIClient azureClient = new(
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new Uri("https://your-azure-openai-resource.com"),
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new DefaultAzureCredential());
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AudioClient audioClient = azureClient.GetAudioClient("my-whisper-deployment");
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#region Snippet:AudioTranscriptionWithOptions
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string audioFilePath = "path/to/your/audio/file.wav";
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// Configure transcription options for enhanced output
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AudioTranscriptionOptions options = new()
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{
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ResponseFormat = AudioTranscriptionFormat.Verbose,
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Temperature = 0.2f,
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Language = "en", // Specify the language if known for better accuracy
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Prompt = "This is a recording about artificial intelligence and machine learning.", // Context hint
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};
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AudioTranscription transcription = audioClient.TranscribeAudio(audioFilePath, options);
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Console.WriteLine($"Transcribed text: {transcription.Text}");
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Console.WriteLine($"Language detected: {transcription.Language}");
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Console.WriteLine($"Duration: {transcription.Duration}");
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// Access word-level timestamps if using verbose format
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if (transcription.Words != null)
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{
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Console.WriteLine("Word-level timestamps:");
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foreach (var word in transcription.Words)
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{
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Console.WriteLine($" {word.Word}: timestamps available");
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}
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}
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#endregion
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}
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public void AudioTranslation()
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{
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AzureOpenAIClient azureClient = new(
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new Uri("https://your-azure-openai-resource.com"),
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new DefaultAzureCredential());
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AudioClient audioClient = azureClient.GetAudioClient("my-whisper-deployment");
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#region Snippet:AudioTranslation
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// Load an audio file in any supported language
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string audioFilePath = "path/to/your/foreign/audio/file.wav";
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// Translate the audio to English text
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AudioTranslation translation = audioClient.TranslateAudio(audioFilePath);
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Console.WriteLine($"Translated to English: {translation.Text}");
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#endregion
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}
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public void AudioTranslationWithOptions()
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{
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AzureOpenAIClient azureClient = new(
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new Uri("https://your-azure-openai-resource.com"),
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new DefaultAzureCredential());
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AudioClient audioClient = azureClient.GetAudioClient("my-whisper-deployment");
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#region Snippet:AudioTranslationWithOptions
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string audioFilePath = "path/to/your/foreign/audio/file.wav";
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// Configure translation options for enhanced output
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AudioTranslationOptions options = new()
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{
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ResponseFormat = AudioTranslationFormat.Verbose,
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Temperature = 0.1f, // Lower temperature for more deterministic translation
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Prompt = "This is a technical presentation about computer science.", // Context for better translation
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};
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AudioTranslation translation = audioClient.TranslateAudio(audioFilePath, options);
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Console.WriteLine($"Translated text: {translation.Text}");
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Console.WriteLine($"Duration: {translation.Duration}");
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#endregion
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}
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#if !AZURE_OPENAI_GA
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public void TextToSpeech()
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{
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AzureOpenAIClient azureClient = new(
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new Uri("https://your-azure-openai-resource.com"),
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new DefaultAzureCredential());
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AudioClient audioClient = azureClient.GetAudioClient("my-tts-deployment");
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#region Snippet:TextToSpeech
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string textToSpeak = "Hello! Welcome to Azure OpenAI text-to-speech. This technology can convert written text into natural-sounding speech.";
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// Generate speech from text
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BinaryData speechData = audioClient.GenerateSpeech(textToSpeak, GeneratedSpeechVoice.Alloy);
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// Save the audio to a file
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string outputPath = "generated_speech.mp3";
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File.WriteAllBytes(outputPath, speechData.ToArray());
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Console.WriteLine($"Speech generated and saved to: {outputPath}");
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#endregion
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}
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public void TextToSpeechWithOptions()
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{
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AzureOpenAIClient azureClient = new(
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new Uri("https://your-azure-openai-resource.com"),
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new DefaultAzureCredential());
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AudioClient audioClient = azureClient.GetAudioClient("my-tts-deployment");
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#region Snippet:TextToSpeechWithOptions
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string textToSpeak = "This is a demonstration of advanced text-to-speech capabilities with customized voice settings.";
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// Generate speech with specific voice
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BinaryData speechData = audioClient.GenerateSpeech(textToSpeak, GeneratedSpeechVoice.Nova);
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// Save with descriptive filename
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string outputPath = $"speech_nova_{DateTime.Now:yyyyMMdd_HHmmss}.mp3";
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File.WriteAllBytes(outputPath, speechData.ToArray());
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Console.WriteLine($"Speech generated with Nova voice");
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Console.WriteLine($"Saved to: {outputPath}");
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#endregion
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}
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public void AudioWorkflowExample()
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{
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AzureOpenAIClient azureClient = new(
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new Uri("https://your-azure-openai-resource.com"),
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new DefaultAzureCredential());
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AudioClient whisperClient = azureClient.GetAudioClient("my-whisper-deployment");
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AudioClient ttsClient = azureClient.GetAudioClient("my-tts-deployment");
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#region Snippet:AudioWorkflowExample
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// Complete workflow: audio processing pipeline
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string inputAudioPath = "path/to/meeting/recording.wav";
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// Step 1: Transcribe the meeting recording
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Console.WriteLine("Transcribing meeting recording...");
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AudioTranscriptionOptions transcriptionOptions = new()
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{
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ResponseFormat = AudioTranscriptionFormat.Verbose,
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Language = "en",
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Prompt = "This is a business meeting discussing project updates and next steps.",
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};
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AudioTranscription transcription = whisperClient.TranscribeAudio(inputAudioPath, transcriptionOptions);
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Console.WriteLine($"Meeting transcribed: {transcription.Text.Length} characters");
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// Step 2: Extract key points or summary (this would typically involve chat completion)
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string summary = "Key meeting outcomes: Project milestone achieved, budget approved, next review scheduled for next week.";
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// Step 3: Convert summary back to speech for accessibility
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Console.WriteLine("Generating audio summary...");
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BinaryData summaryAudio = ttsClient.GenerateSpeech(summary, GeneratedSpeechVoice.Echo);
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// Step 4: Save outputs
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File.WriteAllText("meeting_transcript.txt", transcription.Text);
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File.WriteAllText("meeting_summary.txt", summary);
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File.WriteAllBytes("meeting_summary.mp3", summaryAudio.ToArray());
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Console.WriteLine("Audio workflow completed:");
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Console.WriteLine("- meeting_transcript.txt: Full transcription");
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Console.WriteLine("- meeting_summary.txt: Key points summary");
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Console.WriteLine("- meeting_summary.mp3: Audio summary");
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#endregion
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}
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#endif
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}

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