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310cf7fbce
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@ -396,4 +396,3 @@ FodyWeavers.xsd
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# JetBrains Rider
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*.sln.iml
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KIKunstKirstenKlöckner/wwwroot/generated_images/*
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@ -17,7 +17,6 @@
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<ItemGroup>
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<Folder Include="wwwroot\NewFolder\" />
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<PackageReference Include="SixLabors.ImageSharp" Version="3.0.1" />
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</ItemGroup>
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</Project>
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@ -1,5 +1,6 @@
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@page "/aiart"
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@using OpenAI_API
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@using Microsoft.AspNetCore.Components.Web
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@using OpenAI_API.Chat
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@using OpenAI_API.Models
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@using System.Diagnostics
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@ -7,6 +8,8 @@
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@inject TooltipService TooltipService
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@inject DialogService DialogService
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@inject IJSRuntime JSRuntime;
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<PageTitle>AiArt</PageTitle>
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<h1>Wunschbilder von KI nur für dich</h1>
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@ -180,82 +183,10 @@
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await InvokeAsync(StateHasChanged);
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}
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private readonly HttpClient _client = new();
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protected override Task OnInitializedAsync()
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public async Task GenerateImage()
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{
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var inferenceModelUrl = "https://api-inference.huggingface.co/models/Nacken/ki-kunst-kirsten-kloeckner-colab";
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// TODO: nicht im repo speichern
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var API_TOKEN = "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";
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//_client.BaseAddress = new Uri(inferenceModelUrl);
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_client.DefaultRequestHeaders.Clear();
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_client.DefaultRequestHeaders.Add("Authorization", $"Bearer {API_TOKEN}");
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return base.OnInitializedAsync();
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}
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/// <summary>
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/// Geneiert das Bild für den aktuellen <see cref="_imagePrompt"/>
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/// </summary>
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public async Task GenerateImageAsync()
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{
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var postData = new
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{
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inputs = _imagePrompt
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};
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JsonContent content = JsonContent.Create(postData);
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async Task FailedToDrawImage()
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{
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bool? retry = await DialogService.Confirm("Leider konnte das Bild nicht gemalt werden. Möchtest du es noch eimal versuchen?", "Ups, ein Fehler ist aufgetreten...",
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new ConfirmOptions { OkButtonText = "Ja", CancelButtonText = "Nein" });
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if (retry == true)
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await GenerateImageAsync();
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}
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try
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{
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var inferenceModelUrl = "https://api-inference.huggingface.co/models/Nacken/ki-kunst-kirsten-kloeckner-colab";
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var response = await _client.PostAsync(inferenceModelUrl, content);
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if (response?.IsSuccessStatusCode == true)
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{
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await using Stream imageStream = await response.Content.ReadAsStreamAsync();
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using Image image = await Image.LoadAsync(imageStream);
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string imgUrl = $"generated_images/{DateTime.Now:dd_MM_yyyy_hh_mm_s}.jpg";
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string mapPath = $"./wwwroot/{imgUrl}";
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await image.SaveAsJpegAsync(mapPath);
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_imageUrl = imgUrl;
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}
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else
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{
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Console.WriteLine($"Image conversion failed: {response}");
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if (Debugger.IsAttached)
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Debugger.Break();
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await FailedToDrawImage();
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}
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}
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catch (Exception exception)
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{
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Console.WriteLine($"Image request failed: {exception}");
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if (Debugger.IsAttached)
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Debugger.Break();
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await FailedToDrawImage();
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}
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//await JSRuntime.InvokeVoidAsync("DoSexyStuffBridge", _imagePrompt);
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_imageUrl = await JSRuntime.InvokeAsync<string>("DoSexyStuffBridge", _imagePrompt);
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}
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@ -303,8 +234,7 @@
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_imageDescription = await converse.GetResponseFromChatbotAsync();
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await UpdateBusyMessage("Kirstens Assistent hat eine Idee! Er wird sie nun malen...");
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Task makeImagesTask = GenerateImageAsync();
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Task makeImagesTask = GenerateImage();
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//CancellationTokenSource cancelFunnyMessages = new CancellationTokenSource();
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@ -34,5 +34,25 @@
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</div>
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<script src="_framework/blazor.server.js"></script>
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<script type="module" src="scripts/ImageMaster3000.js"></script>
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<script>
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window.DoSexyStuffBridge = async function (prompt)
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{
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// Stellen Sie sicher, dass das Modul geladen und die Funktion verfügbar ist
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if (typeof DoSexyStuff === "function")
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{
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return await DoSexyStuff(prompt);
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}
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else
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{
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console.error("Die Funktion DoSexyStuff ist nicht verfügbar.");
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return "Error";
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}
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}
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</script>
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</body>
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</html>
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@ -0,0 +1,32 @@
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import { HfInference } from 'https://cdn.jsdelivr.net/npm/@huggingface/inference@2.6.1/+esm';
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import { createRepo, commit, deleteRepo, listFiles } from "https://cdn.jsdelivr.net/npm/@huggingface/hub@0.8.4/+esm";
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async function DoSexyStuff(prompt)
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{
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const HF_ACCESS_TOKEN = "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";
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const inference = new HfInference(HF_ACCESS_TOKEN);
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const blob = await inference.textToImage({
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//model: 'stabilityai/stable-diffusion-2',
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model: 'Nacken/ki-kunst-kirsten-kloeckner-colab',
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//inputs: 'award winning high resolution photo of a giant tortoise/((ladybird)) hybrid, [trending on artstation]',
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inputs: prompt,
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parameters: {
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negative_prompt: 'blurry',
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}
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})
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const imageUrl = window.URL.createObjectURL(blob);
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return imageUrl;
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//window.open(imageUrl, '_blank');
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}
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// Exportiere die Funktion in den globalen Kontext
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window.DoSexyStuff = DoSexyStuff;
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function showAlert(message) {
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alert(message);
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}
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