Semantic Kernel Demo

Program.cs

using Microsoft.Extensions.Logging;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.AI.ImageGeneration;
using System.Diagnostics;
using Microsoft.SemanticKernel.Planning;
using System.Text.Json;

var kernelSettings = KernelSettings.LoadSettings();

var kernelConfig = new KernelConfig();
kernelConfig.AddCompletionBackend(kernelSettings);

using ILoggerFactory loggerFactory = LoggerFactory.Create(builder =>
{
    builder
        .SetMinimumLevel(kernelSettings.LogLevel ?? LogLevel.Warning)
        .AddConsole()
        .AddDebug();
});

IKernel kernel = new KernelBuilder()
    .WithLogger(loggerFactory.CreateLogger<IKernel>())
    .WithConfiguration(kernelConfig)
    .Configure(c =>
    {
        c.AddOpenAIImageGenerationService(kernelSettings.ApiKey);

    })
    .Build();

// used later to generate image with dallE
var dallE = kernel.GetService<IImageGeneration>();

// use SKs planner
var planner = new SequentialPlanner(kernel);

// depends on MySkills skill which has two semantic fucntions
// skills will be renamed to plugins in the future
var skillsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), "skills");
var skill = kernel.ImportSemanticSkillFromDirectory(skillsDirectory, "MySkills");

// ask for starter ingredients
Console.Write("Enter ingredients: ");
string? input = Console.ReadLine();


if (!string.IsNullOrEmpty(input))
{

    // define the ASK for the planner; the two semantic functions should be used by the plan
    // note that these functions are too simple to be useful in a real application
    // a single prompt to the model would be enough
    var ask = "I need an image description of a recipe with these starter ingredients: " + input;

    // create the plan and print it to see if the functions are used correctly
    var newPlan = await planner.CreatePlanAsync(ask);

    Console.WriteLine("Updated plan:\n");
    Console.WriteLine(JsonSerializer.Serialize(newPlan, new JsonSerializerOptions { WriteIndented = true }));

    // run the plan; result should be an image description
    var newPlanResult = await newPlan.InvokeAsync();


    // generate the url to the images created by dalle
    var imageURL = await dallE.GenerateImageAsync(newPlanResult.ToString(), 512, 512);

    // display image in browser (MacOS!!!)
    Process.Start("open", imageURL);
}