Kortikov Mikhail
commited on
Commit
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5722f16
1
Parent(s):
a940bc4
templates
Browse files- static/index.html +0 -36
- static/script.js +0 -17
- templates/index.html +45 -0
static/index.html
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<main>
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<section id="text-gen">
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<h2 class="relative group">
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<a
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id="text-generation-using-flan-t5"
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class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full"
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href="#text-generation-using-flan-t5"
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>
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<span><IconCopyLink/></span>
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</a>
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<span>
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Text generation using Flan T5
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</span>
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</h2>
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<p>
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Model:
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<a
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href="https://huggingface.co/google/flan-t5-small"
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rel="noreferrer"
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target="_blank"
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>google/flan-t5-small
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</a>
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</p>
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<form class="text-gen-form">
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<label for="text-gen-input">Text prompt</label>
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<input
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id="text-gen-input"
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type="text"
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value="German: There are many ducks"
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/>
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<button id="text-gen-submit">Submit</button>
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<p class="text-gen-output"></p>
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</form>
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</section>
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</main>
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static/script.js
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const textGenForm = document.querySelector(".text-gen-form");
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const translateText = async (text) => {
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const inferResponse = await fetch(`infer_t5?input=${text}`);
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const inferJson = await inferResponse.json();
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return inferJson.output;
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};
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textGenForm.addEventListener("submit", async (event) => {
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event.preventDefault();
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const textGenInput = document.getElementById("text-gen-input");
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const textGenParagraph = document.querySelector(".text-gen-output");
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textGenParagraph.textContent = await translateText(textGenInput.value);
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});
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templates/index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Fruit Recognition</title>
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</head>
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<body>
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<h1>Fruit Recognition</h1>
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<input type="file" id="inputImage" accept="image/*">
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<button onclick="submitImage()">Predict</button>
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<p id="result"></p>
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<script>
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async function submitImage() {
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const inputImage = document.getElementById("inputImage");
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const resultElement = document.getElementById("result");
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if (inputImage.files.length > 0) {
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const formData = new FormData();
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formData.append("file", inputImage.files[0]);
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try {
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const response = await fetch("/predict/", {
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method: "POST",
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body: formData,
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});
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if (response.ok) {
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const data = await response.json();
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resultElement.innerText = `Predicted class: ${data.predicted_class}`;
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} else {
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const error = await response.json();
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resultElement.innerText = `Error: ${error.error}`;
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}
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} catch (error) {
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resultElement.innerText = `Error: ${error.message}`;
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}
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} else {
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resultElement.innerText = "Please select an image.";
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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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