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Tutorial
javascript

Leveraging Machine Learning Models in Real-Time with TensorFlow.js and React: Building AI-Powered Interfaces 

import React, { useState } from 'react';

function ImageClassifier() {
  const [image, setImage] = useState(null);

  const handleImageUpload = (event) => {
    const file = event.target.files[0];
    const reader = new FileReader();

    reader.onload = () => {
      setImage(reader.result);
    };

    if (file) {
      reader.readAsDataURL(file);
    }
  };

  return (
    <div>
      <input type="file" accept="image/*" onChange={handleImageUpload} />
      {image && <img src={image} alt="Uploaded" />}
    </div>
  );
}

export default ImageClassifier;

Next, we’ll load a pre-trained model (e.g., MobileNet) when the component mounts. We can use the useEffect hook for this purpose:

Aug 20, 2024
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