I have a tensorflow model (.h5) file, I like to serve it in the browser, maybe using tensorflow.js, can I do that?

December 17, 2023
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Yes, you can serve a TensorFlow model in the browser using TensorFlow.js. TensorFlow.js is a JavaScript library that allows you to define, train, and run machine learning models directly in the browser or on Node.js. Here are the general steps to achieve this:

Convert the TensorFlow Model to TensorFlow.js format:

  • Use the TensorFlow.js Converter tool to convert your model from the .h5 format to the TensorFlow.js format. You can use the tensorflowjs_converter script provided by TensorFlow.js.
Example:

tensorflowjs_converter --input_format=keras my_model.h5 ./tfjs_model

This command will create a directory called tfjs_model with the converted TensorFlow.js model files.

Serve the Model Files:

  • You need to serve the converted model files using a web server. You can use a simple HTTP server like http-server or any other web server of your choice.
Example using http-server

npm install -g http-server
cd tfjs_model
http-server

This will start a web server, and you can access the model files through a URL like http://localhost:8080.

Load and Run the Model in the Browser:

  • In your web application, you can use the TensorFlow.js library to load and run the model. You can include TensorFlow.js in your HTML file using a script tag or by installing it through npm.

Example HTML file:

<!DOCTYPE html>
<html>
<head>
  <title>TensorFlow.js Model in the Browser</title>
  <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
</head>
<body>
  <script>
    async function runModel() {
      const model = await tf.loadLayersModel('http://localhost:8080/model.json');
      
      // Make predictions or perform other tasks with the loaded model
      // ...
    }

    runModel();
  </script>
</body>
</html>

Replace the URL in tf.loadLayersModel with the correct path to your model.json file.

Remember to adjust the paths and URLs based on your setup. This is a high-level overview, and the details might vary based on your specific use case and web application structure.

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