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#!/bin/bash
# Script to build and convert the Docker image to WASM
# Step 1: Build the Docker image
echo "Building the 32-bit Jupyter Docker image..."
docker build -t jupyter-datascience-32bit -f Dockerfile .
# Step 2: Install Docker-WASM tools
echo "Installing Docker-WASM conversion tools..."
npm install -g @wasmer/wasm-transformer
npm install -g docker-wasm-cli
# Step 3: Export the Docker image
echo "Exporting Docker image to a tarball..."
docker save jupyter-datascience-32bit -o jupyter-datascience-32bit.tar
# Step 4: Convert the Docker image to WASM
echo "Converting Docker image to WASM format..."
docker-wasm convert jupyter-datascience-32bit.tar --output jupyter-datascience.wasm
# Step 5: Create a simple HTML launcher
echo "Creating HTML launcher for the WASM module..."
cat > jupyter-wasm-launcher.html << 'EOL'
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Jupyter WASM Instance</title>
<style>
body {
font-family: Arial, sans-serif;
max-width: 800px;
margin: 0 auto;
padding: 20px;
}
button {
padding: 10px 15px;
font-size: 16px;
background-color: #4CAF50;
color: white;
border: none;
border-radius: 4px;
cursor: pointer;
}
button:hover {
background-color: #45a049;
}
#status {
margin-top: 20px;
padding: 15px;
border-radius: 4px;
background-color: #f8f9fa;
}
#jupyter-frame {
width: 100%;
height: 600px;
border: 1px solid #ddd;
margin-top: 20px;
display: none;
}
</style>
</head>
<body>
<h1>Jupyter WASM Instance</h1>
<p>This page runs a Jupyter notebook server directly in your browser using WebAssembly.</p>
<button id="start-button">Start Jupyter Server</button>
<div id="status">Status: Ready to launch</div>
<iframe id="jupyter-frame" sandbox="allow-scripts allow-same-origin"></iframe>
<script>
document.getElementById('start-button').addEventListener('click', async () => {
const statusEl = document.getElementById('status');
const frameEl = document.getElementById('jupyter-frame');
statusEl.textContent = 'Status: Loading WASM module...';
try {
// Import the WASM module
const wasmModule = await WebAssembly.instantiateStreaming(
fetch('jupyter-datascience.wasm'),
{}
);
statusEl.textContent = 'Status: Starting Jupyter server...';
// Initialize the WASM instance
const instance = wasmModule.instance;
await instance.exports._start();
// Connect to the virtual server
const port = 8888; // The port defined in the Docker image
const url = `http://localhost:${port}`;
statusEl.textContent = 'Status: Jupyter server running at ' + url;
// Display in iframe
frameEl.style.display = 'block';
frameEl.src = url;
} catch (error) {
statusEl.textContent = 'Status: Error - ' + error.message;
console.error(error);
}
});
</script>
</body>
</html>
EOL
echo "Done! You now have:"
echo "1. jupyter-datascience.wasm - The WASM module"
echo "2. jupyter-wasm-launcher.html - A HTML launcher for the WASM module"
echo ""
echo "To use, serve these files with a web server that supports WebAssembly and WASM-compatible headers." |