document.addEventListener("alpine:init", function () {
 Alpine.store('generatedImage', '');
 Alpine.store('busy', false);
 Alpine.store('prompt', '');
  
 Alpine.effect('busy', function () {
    return {
      loading: false,
      run(){
        this.id = window.setInterval(() => {
          this.loading = !this.loading;
          this.forceUpdate();
        }, 1000);
      }
    };
 });
  
 Alpine.data('diffusion', {
    generateImage() {
      console.log('Generating image...');
      const prompt = document.getElementById('prompt').value;
      if (prompt.trim() === '' || prompt.indexOf('{') === 0) {
        return;
      }
      Alpine.store('busy', true);
      setTimeout(async () => {
        const result = await fetch('/api/generate-image', {
          method: 'POST',
          headers: {
            'Content-Type': 'application/json'
          },
          body: JSON.stringify({
            prompt: prompt
          })
        });
        const data = await result.json();
        Alpine.store('busy', false);
        Alpine.store('generatedImage', data.url);
      }, 2000);
    },
    onSubmit(event) {
      event.preventDefault();
      this.generateImage();
    }
 });
});

const app = new App();

app.use(AppProviders);

app.use('/api/generate-image', async (request) => {
 const {prompt} = request.payload();
 // This is a mock implementation of the stable diffusion algorithm
 // In a real-world application, you would call an external API that takes in the prompt and returns the generated image URL
 // You can use any AI image generation model you want, such as GPT-3 or the latest stable diffusion models
 const imageUrl = `https://dummyimage.com/600x400/000/fff&text=prompt=${encodeURIComponent(prompt)}`;
 return {
    status: 200,
    headers: {
      'Content-Type': 'application/json'
    },
    body: {
      url: imageUrl
    }
 };
});

app.run();