zainali95
commited on
Commit
·
53a43fe
1
Parent(s):
28d13bb
plain html js implementation of the Gradio api implementation
Browse files- index.html +46 -0
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>Gradio API Image Upload</title>
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</head>
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<body>
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<h2>Gradio API Image Upload and Prediction</h2>
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<label for="fileInput">Upload an Image: </label>
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<input type="file" id="fileInput" accept="image/*">
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<button id="submitButton">Predict</button>
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<h3>Prediction Result:</h3>
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<pre id="result"></pre>
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<script type="module">
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import { Client } from "https://cdn.jsdelivr.net/npm/@gradio/client/dist/index.min.js";
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document.getElementById('submitButton').addEventListener('click', async () => {
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const fileInput = document.getElementById('fileInput');
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const file = fileInput.files[0];
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if (!file) {
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document.getElementById('result').textContent = 'Please select an image file.';
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return;
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}
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try {
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// Create a Blob from the uploaded file
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const exampleImage = await file.arrayBuffer();
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const client = await Client.connect("zainali95/test001");
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// Make the prediction request
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const result = await client.predict("/predict", { img: new Blob([exampleImage], { type: file.type }) });
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console.log(result);
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// Display the prediction result
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document.getElementById('result').textContent = JSON.stringify(result.data, null, 2);
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} catch (error) {
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document.getElementById('result').textContent = 'Error: ' + error.message;
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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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