openai/openai-dotnet
Publicmirrored from https://github.com/openai/openai-dotnetAvailable
examples/CombinationExamples.cs
150lines · modecode
| 1 | using NUnit.Framework; |
| 2 | using OpenAI.Audio; |
| 3 | using OpenAI.Chat; |
| 4 | using OpenAI.Images; |
| 5 | using System; |
| 6 | using System.ClientModel; |
| 7 | using System.IO; |
| 8 | using System.Threading.Tasks; |
| 9 | |
| 10 | namespace OpenAI.Examples.Miscellaneous; |
| 11 | |
| 12 | public partial class CombinationExamples |
| 13 | { |
| 14 | [Test] |
| 15 | public void AlpacaArtAssessor() |
| 16 | { |
| 17 | // First, we create an image using dall-e-3: |
| 18 | ImageClient imageClient = new("dall-e-3"); |
| 19 | ClientResult<GeneratedImage> imageResult = imageClient.GenerateImage( |
| 20 | "a majestic alpaca on a mountain ridge, backed by an expansive blue sky accented with sparse clouds", |
| 21 | new() |
| 22 | { |
| 23 | Style = GeneratedImageStyle.Vivid, |
| 24 | Quality = GeneratedImageQuality.High, |
| 25 | Size = GeneratedImageSize.W1792xH1024, |
| 26 | }); |
| 27 | GeneratedImage imageGeneration = imageResult.Value; |
| 28 | Console.WriteLine($"Majestic alpaca available at:\n{imageGeneration.ImageUri.AbsoluteUri}"); |
| 29 | |
| 30 | // Now, we'll ask a cranky art critic to evaluate the image using gpt-4-vision-preview: |
| 31 | ChatClient chatClient = new("gpt-4-vision-preview"); |
| 32 | ChatCompletion chatCompletion = chatClient.CompleteChat( |
| 33 | [ |
| 34 | new SystemChatMessage("Assume the role of a cranky art critic. When asked to describe or " |
| 35 | + "evaluate imagery, focus on criticizing elements of subject, composition, and other details."), |
| 36 | new UserChatMessage( |
| 37 | ChatMessageContentPart.CreateTextMessageContentPart("describe the following image in a few sentences"), |
| 38 | ChatMessageContentPart.CreateImageMessageContentPart(imageGeneration.ImageUri)), |
| 39 | ], |
| 40 | new ChatCompletionOptions() |
| 41 | { |
| 42 | MaxTokens = 2048, |
| 43 | } |
| 44 | ); |
| 45 | |
| 46 | string chatResponseText = chatCompletion.Content[0].Text; |
| 47 | Console.WriteLine($"Art critique of majestic alpaca:\n{chatResponseText}"); |
| 48 | |
| 49 | // Finally, we'll get some text-to-speech for that critical evaluation using tts-1-hd: |
| 50 | AudioClient audioClient = new("tts-1-hd"); |
| 51 | ClientResult<BinaryData> ttsResult = audioClient.GenerateSpeechFromText( |
| 52 | text: chatResponseText, |
| 53 | GeneratedSpeechVoice.Fable, |
| 54 | new SpeechGenerationOptions() |
| 55 | { |
| 56 | Speed = 0.9f, |
| 57 | ResponseFormat = GeneratedSpeechFormat.Opus, |
| 58 | }); |
| 59 | FileInfo ttsFileInfo = new($"{chatCompletion.Id}.opus"); |
| 60 | using (FileStream ttsFileStream = ttsFileInfo.Create()) |
| 61 | using (BinaryWriter ttsFileWriter = new(ttsFileStream)) |
| 62 | { |
| 63 | ttsFileWriter.Write(ttsResult.Value); |
| 64 | } |
| 65 | Console.WriteLine($"Alpaca evaluation audio available at:\n{new Uri(ttsFileInfo.FullName).AbsoluteUri}"); |
| 66 | } |
| 67 | |
| 68 | [Test] |
| 69 | public async Task CuriousCreatureCreator() |
| 70 | { |
| 71 | // First, we'll use gpt-4 to have a creative helper imagine a twist on a household pet |
| 72 | ChatClient creativeWriterClient = new("gpt-4"); |
| 73 | ClientResult<ChatCompletion> creativeWriterResult = creativeWriterClient.CompleteChat( |
| 74 | [ |
| 75 | new SystemChatMessage("You're a creative helper that specializes in brainstorming designs for concepts that fuse ordinary, mundane items with a fantastical touch. In particular, you can provide good one-paragraph descriptions of concept images."), |
| 76 | new UserChatMessage("Imagine a household pet. Now add in a subtle touch of magic or 'different'. What do you imagine? Provide a one-paragraph description of a picture of this new creature, focusing on the details of the imagery such that it'd be suitable for creating a picture."), |
| 77 | ], |
| 78 | new ChatCompletionOptions() |
| 79 | { |
| 80 | MaxTokens = 2048, |
| 81 | }); |
| 82 | string description = creativeWriterResult.Value.Content[0].Text; |
| 83 | Console.WriteLine($"Creative helper's creature description:\n{description}"); |
| 84 | |
| 85 | // Asynchronously, in parallel to the next steps, we'll get the creative description in the voice of Onyx |
| 86 | AudioClient ttsClient = new("tts-1-hd"); |
| 87 | Task<ClientResult<BinaryData>> imageDescriptionAudioTask = ttsClient.GenerateSpeechFromTextAsync( |
| 88 | description, |
| 89 | GeneratedSpeechVoice.Onyx, |
| 90 | new SpeechGenerationOptions() |
| 91 | { |
| 92 | Speed = 1.1f, |
| 93 | ResponseFormat = GeneratedSpeechFormat.Opus, |
| 94 | }); |
| 95 | _ = Task.Run(async () => |
| 96 | { |
| 97 | ClientResult<BinaryData> audioResult = await imageDescriptionAudioTask; |
| 98 | FileInfo audioFileInfo = new FileInfo($"{creativeWriterResult.Value.Id}-description.opus"); |
| 99 | using FileStream fileStream = audioFileInfo.Create(); |
| 100 | using BinaryWriter fileWriter = new(fileStream); |
| 101 | fileWriter.Write(audioResult.Value); |
| 102 | Console.WriteLine($"Spoken description available at:\n{new Uri(audioFileInfo.FullName).AbsoluteUri}"); |
| 103 | }); |
| 104 | |
| 105 | // Meanwhile, we'll use dall-e-3 to generate a rendition of our LLM artist's vision |
| 106 | ImageClient imageGenerationClient = new("dall-e-3"); |
| 107 | ClientResult<GeneratedImage> imageGenerationResult = await imageGenerationClient.GenerateImageAsync( |
| 108 | description, |
| 109 | new ImageGenerationOptions() |
| 110 | { |
| 111 | Size = GeneratedImageSize.W1792xH1024, |
| 112 | Quality = GeneratedImageQuality.High, |
| 113 | }); |
| 114 | Uri imageLocation = imageGenerationResult.Value.ImageUri; |
| 115 | Console.WriteLine($"Creature image available at:\n{imageLocation.AbsoluteUri}"); |
| 116 | |
| 117 | // Now, we'll use gpt-4-vision-preview to get a hopelessly taken assessment from a usually exigent art connoisseur |
| 118 | ChatClient imageCriticClient = new("gpt-4-vision-preview"); |
| 119 | ClientResult<ChatCompletion> criticalAppraisalResult = await imageCriticClient.CompleteChatAsync( |
| 120 | [ |
| 121 | new SystemChatMessage("Assume the role of an art critic. Although usually cranky and occasionally even referred to as a 'curmudgeon', you're somehow entirely smitten with the subject presented to you and, despite your best efforts, can't help but lavish praise when you're asked to appraise a provided image."), |
| 122 | new UserChatMessage( |
| 123 | ChatMessageContentPart.CreateTextMessageContentPart("Evaluate this image for me. What is it, and what do you think of it?"), |
| 124 | ChatMessageContentPart.CreateImageMessageContentPart(imageLocation)), |
| 125 | ], |
| 126 | new ChatCompletionOptions() |
| 127 | { |
| 128 | MaxTokens = 2048, |
| 129 | }); |
| 130 | string appraisal = criticalAppraisalResult.Value.Content[0].Text; |
| 131 | Console.WriteLine($"Critic's appraisal:\n{appraisal}"); |
| 132 | |
| 133 | // Finally, we'll get that art expert's laudations in the voice of Fable |
| 134 | ClientResult<BinaryData> appraisalAudioResult = await ttsClient.GenerateSpeechFromTextAsync( |
| 135 | appraisal, |
| 136 | GeneratedSpeechVoice.Fable, |
| 137 | new SpeechGenerationOptions() |
| 138 | { |
| 139 | Speed = 0.9f, |
| 140 | ResponseFormat = GeneratedSpeechFormat.Opus, |
| 141 | }); |
| 142 | FileInfo criticAudioFileInfo = new($"{criticalAppraisalResult.Value.Id}-appraisal.opus"); |
| 143 | using (FileStream criticStream = criticAudioFileInfo.Create()) |
| 144 | using (BinaryWriter criticFileWriter = new(criticStream)) |
| 145 | { |
| 146 | criticFileWriter.Write(appraisalAudioResult.Value); |
| 147 | } |
| 148 | Console.WriteLine($"Critical appraisal available at:\n{new Uri(criticAudioFileInfo.FullName).AbsoluteUri}"); |
| 149 | } |
| 150 | } |
| 151 | |