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yaguilherme
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Parent(s):
c7b632f
second commit
Browse files
README.md
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@@ -6,7 +6,7 @@ colorTo: yellow
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sdk: static
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pinned: false
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models:
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- Xenova/
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license: mit
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---
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sdk: static
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pinned: false
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models:
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- Xenova/distilgpt2
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license: mit
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---
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index.js
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@@ -9,16 +9,16 @@ const fileUpload = document.getElementById('upload');
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const imageContainer = document.getElementById('container');
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const example = document.getElementById('example');
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const
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// Create a new object detection pipeline
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status.textContent = 'Loading model...';
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const
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status.textContent = 'Ready';
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example.addEventListener('click', (e) => {
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e.preventDefault();
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detect(
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});
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fileUpload.addEventListener('change', function (e) {
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// Detect objects in the image
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async function detect(
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imageContainer.innerHTML = '';
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imageContainer.style.backgroundImage = `url(${img})`;
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status.textContent = 'Analysing...';
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const output = await
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threshold: 0.5,
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percentage: true,
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});
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const imageContainer = document.getElementById('container');
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const example = document.getElementById('example');
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const EXAMPLE_TEXT = 'Onde surfar com pranchinha hoje no Rio de Janeiro?';
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// Create a new object detection pipeline
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status.textContent = 'Loading model...';
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const recommender = await pipeline('text-generation', 'Xenova/distilgpt2');
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status.textContent = 'Ready';
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example.addEventListener('click', (e) => {
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e.preventDefault();
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detect(EXAMPLE_TEXT);
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});
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fileUpload.addEventListener('change', function (e) {
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// Detect objects in the image
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async function detect(text) {
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status.textContent = 'Analysing...';
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const output = await recommender(img, {
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threshold: 0.5,
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percentage: true,
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});
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