From 5a1d8cb122e14cb2af0b443edb9399f02d345f83 Mon Sep 17 00:00:00 2001 From: Xiaoyun Zhang Date: Sat, 12 Oct 2024 13:57:41 -0700 Subject: [PATCH] Add more gallery examples and release 0.0.7 (#90) * add text to image workflow * format * update gallery --- eng/MetaInfo.props | 2 +- example/HelloWorld/ImageClassification.cs | 374 ++++++++++++++++++ example/HelloWorld/Program.cs | 4 + example/HelloWorld/TextToImage.cs | 117 ++++++ stepwise-studio/components/step-node.tsx | 61 +-- stepwise-studio/components/variable-card.tsx | 13 +- website/getting_start/gallery.yml | 16 + .../image/gallery-image-classification.png | Bin 0 -> 361450 bytes website/image/gallery-image-generation.png | Bin 0 -> 851031 bytes website/release_notes/0_0.md | 16 + 10 files changed, 575 insertions(+), 28 deletions(-) create mode 100644 example/HelloWorld/ImageClassification.cs create mode 100644 example/HelloWorld/TextToImage.cs create mode 100644 website/image/gallery-image-classification.png create mode 100644 website/image/gallery-image-generation.png diff --git a/eng/MetaInfo.props b/eng/MetaInfo.props index e3d7bcc..a648319 100644 --- a/eng/MetaInfo.props +++ b/eng/MetaInfo.props @@ -1,7 +1,7 @@ - 0.0.6 + 0.0.7 LittleLittleCloud git false diff --git a/example/HelloWorld/ImageClassification.cs b/example/HelloWorld/ImageClassification.cs new file mode 100644 index 0000000..b752843 --- /dev/null +++ b/example/HelloWorld/ImageClassification.cs @@ -0,0 +1,374 @@ +๏ปฟ// Copyright (c) LittleLittleCloud. All rights reserved. +// ImageClassification.cs + +using System; +using System.Collections.Generic; +using System.Linq; +using System.Text; +using System.Threading.Tasks; +using AutoGen.Core; +using OpenAI.Images; +using OpenAI; +using StepWise.Core; +using AutoGen.OpenAI; +using AutoGen.OpenAI.Extension; +using OpenAI.Chat; +using Json.Schema; +using Json.Schema.Generation; +using System.Text.Json; + +namespace StepWise.Gallery; + +public partial class ImageClassification +{ + [Function] + public async Task ClassifyImage(string category, string reason) + { + return category; + } + + private string _apiKey = string.Empty; + private IAgent? _agent; + [Step(description: """ + ## Image Classification using OpenAI gpt-4o-mini + + ### Required + - openai api key + """)] + public async Task Start() + { + return "Start"; + } + + + [StepWiseUITextInput(description: "Please provide the openai api key if env:OPENAI_API_KEY is not set, otherwise leave empty and submit")] + public async Task OpenAIApiKey() + { + return null; + } + + [Step(description: "Validate the openai api key")] + public async Task ValidateOpenAIApiKey( + [FromStep(nameof(OpenAIApiKey))] string apiKey) + { + var functionCallMiddleware = new FunctionCallMiddleware( + functions: [this.ClassifyImageFunctionContract], + functionMap: new Dictionary>> + { + [nameof(ClassifyImage)] = this.ClassifyImageWrapper, + }); + if (Environment.GetEnvironmentVariable("OPENAI_API_KEY") is not string envApiKey) + { + if (string.IsNullOrWhiteSpace(apiKey)) + { + throw new Exception("Please provide the openai api key"); + } + + _apiKey = apiKey; + var client = new OpenAIClient(_apiKey); + var chatClient = client.GetChatClient("gpt-4o-mini"); + _agent = new OpenAIChatAgent( + chatClient: chatClient, + name: "assistant") + .RegisterMessageConnector() + .RegisterStreamingMiddleware(functionCallMiddleware) + .RegisterPrintMessage(); + + return "Use provided api key"; + } + else + { + _apiKey = envApiKey; + var client = new OpenAIClient(_apiKey); + var chatClient = client.GetChatClient("gpt-4o-mini"); + _agent = new OpenAIChatAgent( + chatClient: chatClient, + name: "assistant") + .RegisterMessageConnector() + .RegisterStreamingMiddleware(functionCallMiddleware) + .RegisterPrintMessage(); + + return "Use env:OPENAI_API_KEY"; + } + } + + [Title("Category_Collection")] + public class ImageClassificationTask + { + public ImageClassificationTask(IEnumerable categories) + { + Categories = categories.ToArray(); + } + + public ImageClassificationTask() + { + } + + public Category[] Categories { get; set; } = Array.Empty(); + + [Description("Additional note for the image classification task")] + public string Note { get; set; } = string.Empty; + + public override string ToString() + { + var sb = new StringBuilder(); + sb.AppendLine("## Image Classification Categories"); + foreach (var category in Categories) + { + sb.AppendLine($"- {category}: {category.Description}"); + } + + return sb.ToString(); + } + } + + [Title("Category")] + public class Category + { + public Category(string name, string description) + { + Name = name; + Description = description; + } + + [Description("Image classification category")] + public string Name { get; } + + [Description("Description of the image classification category")] + public string Description { get; } + + public override string ToString() => $"{Name}: {Description}"; + } + + [StepWiseUITextInput(description: """ + Please provide the image classification category and description using natural language. + + e.g.: + - cat: + - dog: + """)] + public async Task ImageCategoryInput() + { + return null; + } + + [Step(description: """ + Create a collection of image classification categories from user input + """)] + [DependOn(nameof(ImageCategoryInput))] + [DependOn(nameof(ValidateOpenAIApiKey))] + public async Task CreateCategoryCollection( + [FromStep(nameof(ValidateOpenAIApiKey))] string apiKey, + [FromStep(nameof(ImageCategoryInput))] string input) + { + if (_agent is null) + { + throw new Exception("Please provide the openai api key"); + } + + var schema = new JsonSchemaBuilder() + .FromType() + .Build(); + + var inputMessage = new TextMessage(Role.User, input); + var response = await _agent.GenerateReplyAsync( + [inputMessage], + new GenerateReplyOptions + { + OutputSchema = schema, + }); + + return JsonSerializer.Deserialize(response.GetContent()!) ?? + throw new Exception($"Failed to create category collection from {response.GetContent()!}"); + } + + [StepWiseUITextInput(description: """ + Please provide the path to image folder which contains the images to classify. + + The images should be in the following format: + - jpg + - png + + The folder be 1 level deep and contain only images. All files that are not ending with .jpg or .png, or located in subfolders will be ignored. + e.g.: + - image_1.jpg + - image_2.png + - image_3.jpg + - image_4.png + - ... + """)] + public Task ImageFolder() + { + return Task.FromResult(null); + } + + public record Images(string[] ImagePaths) + { + public override string ToString() + { + var sb = new StringBuilder(); + sb.AppendLine("## Image to classify"); + foreach (var path in ImagePaths) + { + sb.AppendLine($"- {path}"); + } + + return sb.ToString(); + } + } + + public record ImageToClassify(string ImagePath) + { + public override string ToString() => $"Image: {ImagePath}"; + } + + public record ImageClassificationResult(string ImagePath, string Category) + { + public override string ToString() => $"Image: {ImagePath}, Category: {Category}"; + } + + [Step(description: "List images in the image folder")] + public Task ListImages( + [FromStep(nameof(ImageFolder))] string folder) + { + var images = System.IO.Directory.GetFiles(folder, "*.*", System.IO.SearchOption.TopDirectoryOnly) + .Where(file => file.EndsWith(".jpg") || file.EndsWith(".png")) + .ToArray(); + + return Task.FromResult(new Images(images)); + } + + [Step(description: """ + Iterate through the images in the image folder and classify them using the image classification categories + + If the image is already classified, it will be skipped + """)] + public async Task Iterator( + [FromStep(nameof(ListImages))] Images images, + [FromStep(nameof(CreateCategoryCollection))] ImageClassificationTask categories, + [FromStep(nameof(ClassifyImage))] ImageClassificationResult? previousResult = null) + { + var targetFolders = categories.Categories.Select(c => Path.Combine(System.IO.Path.GetDirectoryName(images.ImagePaths[0])!, c.Name)).ToArray(); + + // create the target folders if they do not exist + foreach (var folder in targetFolders) + { + if (!System.IO.Directory.Exists(folder)) + { + System.IO.Directory.CreateDirectory(folder); + } + } + + var classifiedImages = targetFolders + .SelectMany(folder => System.IO.Directory.GetFiles(folder, "*.*", System.IO.SearchOption.TopDirectoryOnly)) + .Select(path => Path.GetFileName(path)) + .Distinct(); + + var unclassifiedImages = images.ImagePaths + .Where(image => !classifiedImages.Contains(Path.GetFileName(image))) + .ToArray(); + + if (unclassifiedImages.Length == 0) + { + return null; + } + + return new ImageToClassify(unclassifiedImages[0]); + } + + [Step(description: """ + Classify the in the image folder using the image classification categories + + The classfied image will be saved in the subfolder of the image folder with the same name as the category + + e.g.: + - image_folder + - cat + - image_1.jpg + - image_2.jpg + - dog + - image_3.jpg + - image_4.jpg + """)] + + [DependOn(nameof(Iterator))] + [DependOn(nameof(Image))] + public async Task ClassifyImage( + [FromStep(nameof(Image))] StepWiseImage image, + [FromStep(nameof(CreateCategoryCollection))] ImageClassificationTask categories, + [FromStep(nameof(Iterator))] ImageToClassify imageToClassify) + { + + if (_agent is null) + { + throw new Exception("Please provide the openai api key"); + } + + var imagePath = imageToClassify.ImagePath; + + var prompt = $""" + Please classify the image using the following categories: + ```categories + {categories} + ``` + + If the image does not belong to any of the categories, classify it as 'unknown'. + """; + + var textMessage = new TextMessage(Role.User, prompt); + var imageMessage = new ImageMessage(Role.User, image.Blob!); + var multiModalMessage = new MultiModalMessage(Role.User, [textMessage, imageMessage]); + + var functionCallMiddleware = new FunctionCallMiddleware( + functions: [this.ClassifyImageFunctionContract], + functionMap: new Dictionary>> + { + [nameof(ClassifyImage)] = this.ClassifyImageWrapper, + }); + + var response = await _agent.SendAsync(multiModalMessage); + + if (response is ToolCallAggregateMessage aggregateMessage && aggregateMessage.Message2 is ToolCallResultMessage toolCallResult && toolCallResult.ToolCalls.Count == 1) + { + var catogory = toolCallResult.ToolCalls[0].Result!; + + var result = new ImageClassificationResult(imagePath, catogory); + + var categoryFolder = System.IO.Path.Combine(System.IO.Path.GetDirectoryName(imagePath)!, catogory); + if (!System.IO.Directory.Exists(categoryFolder)) + { + System.IO.Directory.CreateDirectory(categoryFolder); + } + + var newImagePath = System.IO.Path.Combine(categoryFolder, System.IO.Path.GetFileName(imagePath)); + System.IO.File.Copy(imagePath, newImagePath); + + return result; + } + + return null; + } + + [Step(description: "Show Current Image")] + [DependOn(nameof(Iterator))] + public async Task Image( + [FromStep(nameof(Iterator))] ImageToClassify current) + { + var image = System.IO.File.ReadAllBytes(current.ImagePath); + var mimeType = current.ImagePath.EndsWith(".jpg") ? "image/jpeg" : "image/png"; + return new StepWiseImage() + { + Blob = BinaryData.FromBytes(image, mediaType: mimeType), + ContentType = mimeType, + Name = System.IO.Path.GetFileName(current.ImagePath), + }; + } + + [Step(description: "Current Image Classification Result")] + [DependOn(nameof(ClassifyImage))] + public async Task ImageCategory( + [FromStep(nameof(ClassifyImage))] ImageClassificationResult result) + { + return result.Category; + } +} diff --git a/example/HelloWorld/Program.cs b/example/HelloWorld/Program.cs index fa02cdf..31a1632 100644 --- a/example/HelloWorld/Program.cs +++ b/example/HelloWorld/Program.cs @@ -34,6 +34,8 @@ var sequential = new Sequential(); var ifElse = new IfElseBranching(); var parallel = new ParallelWorkflow(); +var textToImage = new TextToImage(); +var imageClassification = new ImageClassification(); stepWiseClient.AddWorkflow(Workflow.CreateFromInstance(sequential)); stepWiseClient.AddWorkflow(Workflow.CreateFromInstance(ifElse)); @@ -46,6 +48,8 @@ stepWiseClient.AddWorkflow(Workflow.CreateFromInstance(releaseMaster)); stepWiseClient.AddWorkflow(Workflow.CreateFromInstance(codeInterpreter)); stepWiseClient.AddWorkflow(Workflow.CreateFromInstance(ocrWorkflow)); +stepWiseClient.AddWorkflow(Workflow.CreateFromInstance(textToImage)); +stepWiseClient.AddWorkflow(Workflow.CreateFromInstance(imageClassification)); // Wait for the host to shutdown await host.WaitForShutdownAsync(); diff --git a/example/HelloWorld/TextToImage.cs b/example/HelloWorld/TextToImage.cs new file mode 100644 index 0000000..0dc7b32 --- /dev/null +++ b/example/HelloWorld/TextToImage.cs @@ -0,0 +1,117 @@ +๏ปฟ// Copyright (c) LittleLittleCloud. All rights reserved. +// TextToImage.cs + +using System; +using System.Collections.Generic; +using System.Linq; +using System.Text; +using System.Threading.Tasks; +using AutoGen.OpenAI; +using OpenAI; +using OpenAI.Images; +using StepWise.Core; + +namespace StepWise.Gallery; + +public class TextToImage +{ + private string _apiKey = string.Empty; + private ImageClient? _imageClient; + + [Step(description: """ + ## Convert Text to Image using OpenAI DALL-E-3 + + ### Required + - openai api key + """)] + public async Task Start() + { + return "Start"; + } + + [StepWiseUITextInput(description: """ + Please describe the image you want to create. + + e.g: a cat fighting with a dog + """)] + public async Task InputPrompt() + { + return null; + } + + [StepWiseUITextInput(description: "Please provide the openai api key if env:OPENAI_API_KEY is not set, otherwise leave empty and submit")] + public async Task OpenAIApiKey() + { + return null; + } + + [Step(description: "Validate the openai api key")] + public async Task ValidateOpenAIApiKey( + [FromStep(nameof(OpenAIApiKey))] string apiKey) + { + if (Environment.GetEnvironmentVariable("OPENAI_API_KEY") is not string envApiKey) + { + if (string.IsNullOrWhiteSpace(apiKey)) + { + throw new Exception("Please provide the openai api key"); + } + + _apiKey = apiKey; + var client = new OpenAIClient(_apiKey); + _imageClient = client.GetImageClient("dall-e-3"); + + return "Use provided api key"; + } + else + { + _apiKey = envApiKey; + var client = new OpenAIClient(_apiKey); + _imageClient = client.GetImageClient("dall-e-3"); + return "Use env:OPENAI_API_KEY"; + } + } + + [Step(description: """ + Generate an image from text using OpenAI DALL-E-3 + """)] + [DependOn(nameof(InputPrompt))] + [DependOn(nameof(ValidateOpenAIApiKey))] + public async Task GenerateImage( + [FromStep(nameof(ValidateOpenAIApiKey))] string apiKey, + [FromStep(nameof(InputPrompt))] string prompt) + { + if (_imageClient is null) + { + throw new Exception("Please provide the openai api key"); + } + + var image = await _imageClient.GenerateImageAsync(prompt); + + return image.Value; + } + + [Step(description: """ + The revised prompt from openai when generating the image. + """)] + [DependOn(nameof(GenerateImage))] + public async Task RevisedPrompt( + [FromStep(nameof(GenerateImage))] GeneratedImage image) + { + return image.RevisedPrompt; + } + + [Step(description: """ + The image generated from the text. + """)] + [DependOn(nameof(GenerateImage))] + public async Task GeneratedImage( + [FromStep(nameof(GenerateImage))] GeneratedImage image) + { + return new StepWiseImage() + { + Url = image.ImageUri.AbsoluteUri, + ContentType = "image/png", + Name = "image.png", + }; + } +} diff --git a/stepwise-studio/components/step-node.tsx b/stepwise-studio/components/step-node.tsx index 3f223c2..46dcad6 100644 --- a/stepwise-studio/components/step-node.tsx +++ b/stepwise-studio/components/step-node.tsx @@ -217,6 +217,9 @@ const StepNode: React.FC> = (prop) => { const [inputNumber, setInputNumber] = useState( undefined, ); + const [description, setDescription] = useState( + prop.data.step?.description ?? undefined, + ); const [inputSwitch, setInputSwitch] = useState(false); const [isWorkflowRunning, setIsWorkflowRunning] = useState( @@ -279,6 +282,10 @@ const StepNode: React.FC> = (prop) => { setOutput(prop.data.result ?? undefined); }, [prop.data.result]); + useEffect(() => { + setDescription(prop.data.step?.description ?? undefined); + }, [prop.data.step?.description]); + useEffect(() => { setIsSelected(prop.selected ?? false); }, [prop.selected]); @@ -459,38 +466,44 @@ const StepNode: React.FC> = (prop) => { style={{ top: sourceHandleTopOffset, right: 5 }} /> - {step.description && ( -
-
- -

Description

-
+ {description && ( +
setCollapseDescription(!collapseDescription) } > - {collapseDescription ? ( - - {step.description} - - ) : ( - - {step.description} +
+ +

+ Description +

+
+ {!collapseDescription && ( + + {description} )}
+ {collapseDescription && ( +
+ + {description} + +
+ )}
)}
diff --git a/stepwise-studio/components/variable-card.tsx b/stepwise-studio/components/variable-card.tsx index ebec157..c6a4a31 100644 --- a/stepwise-studio/components/variable-card.tsx +++ b/stepwise-studio/components/variable-card.tsx @@ -16,8 +16,15 @@ export const VariableCard: React.FC = (props) => { const image = variable.value as StepWiseImage; if (image.url) { console.log("Setting preview image URL:", image.url); - var baseAddress = client.getConfig().baseUrl; - setPreviewImageUrl(`${baseAddress}${image.url}`); + + // if url is absolute, use it as is + if (image.url.startsWith("http")) { + setPreviewImageUrl(image.url); + } else { + // if url is relative, use the base address from the client + var baseAddress = client.getConfig().baseUrl; + setPreviewImageUrl(`${baseAddress}${image.url}`); + } } } }, [variable]); @@ -38,7 +45,7 @@ export const VariableCard: React.FC = (props) => { Preview )} diff --git a/website/getting_start/gallery.yml b/website/getting_start/gallery.yml index 1792f2b..01768e1 100644 --- a/website/getting_start/gallery.yml +++ b/website/getting_start/gallery.yml @@ -76,3 +76,19 @@ items: repository: type: git url: "https://github.com/LittleLittleCloud/StepWise/blob/main/example/HelloWorld/OCR.cs" + - name: Text To Image + description: A stepwise workflow for generating image from text using OpenAI Dalle. + type: Internal + thumbnail: ../image/gallery-image-generation.png + homepage: https://github.com/LittleLittleCloud/StepWise/blob/main/example/HelloWorld/TextToImage.cs + repository: + type: git + url: "https://github.com/LittleLittleCloud/StepWise/blob/main/example/HelloWorld/TextToImage.cs" + - name: Image Classification + description: A stepwise workflow for classifying image using OpenAI gpt-4o-mini. + type: Internal + thumbnail: ../image/gallery-image-classification.png + homepage: https://github.com/LittleLittleCloud/StepWise/blob/main/example/HelloWorld/ImageClassification.cs + repository: + type: git + url: 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