const { createApp, ref, onMounted, computed } = Vue; import { HfInference } from "https://cdn.skypack.dev/@huggingface/inference@latest"; const getRandomImageUrl = async () => { const randomImageRequest = await fetch("https://source.unsplash.com/random/640x480") return randomImageRequest.url } const getImageBuffer = async (imageUrl) => { const imageRequest = await fetch(imageUrl) const imageBuffer = await imageRequest.arrayBuffer() return imageBuffer } const app = createApp({ setup() { const token = ref(localStorage.getItem("token") || ""); const models = ref(["google/vit-base-patch16-224", "microsoft/resnet-50", "timm/mobilenetv3_large_100.ra_in1k"]); const selectedModel = ref(""); const imageUrl = ref(""); const loading = ref(false); const didErrorOccur = ref(false) const classificationLabels = ref([]) const statusMessage = computed(() => { if (loading.value) return "Loading..." return "Ready" }) const run = async () => { reset() loading.value = true; try { const hf = new HfInference(token.value); const imageData = await getImageBuffer(imageUrl.value); const result = await hf.imageClassification({ data: imageData, model: selectedModel.value, }); classificationLabels.value = result loading.value = false; } catch (e) { console.error(e); loading.value = false; didErrorOccur.value = true } }; const reset = () => { classificationLabels.value = [] didErrorOccur.value = false } const shuffle = async () => { imageUrl.value = "" reset() imageUrl.value = await getRandomImageUrl() }; onMounted(async () => { const localStorageToken = localStorage.getItem("token") if (localStorageToken) { token.value = localStorageToken; } selectedModel.value = models.value[0] imageUrl.value = await getRandomImageUrl() }); return { token, run, shuffle, models, selectedModel, imageUrl, loading, statusMessage, classificationLabels }; }, }); app.mount("#generate-text-stream-app");