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