first try
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src/assets/js/main.js
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39
src/assets/js/main.js
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// Variables
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const llmHost = 'https://chat.vfsh.me';
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const generateEndpoint = '/api/generate';
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// Grab elements from the page
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const userInput = document.getElementById('userInput');
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const sendButton = document.getElementById('sendButton');
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const outputArea = document.getElementById('outputArea');
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// Functions
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async function sendGen() {
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const response = await fetch(`${llmHost}${generateEndpoint}`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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},
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body: JSON.stringify({ model: 'llama3.2', prompt: userInput.value })
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});
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return response;
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}
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async function readResponse(response) {
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const reader = response.body.getReader();
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const decoder = new TextDecoder('utf-8');
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let done = false;
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try {
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while (!done) {
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const { value, done: readerDone } = await reader.read();
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done = readerDone;
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const chunk = decoder.decode(value, { stream: true });
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outputArea.innerHTML += chunk;
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outputArea.scrollTop = outputArea.scrollHeight;
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}
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} catch (error) {
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outputArea.innerHTML = `<span class="text-red-500">Error: ${error.message}</span>`;
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}
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}
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src/index.html
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src/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>LLM Interaction WebApp</title>
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<script src="https://cdn.tailwindcss.com"></script>
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</head>
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<body class="bg-gray-100 flex items-center justify-center min-h-screen">
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<div class="bg-white shadow-md rounded-lg p-6 w-full max-w-lg">
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<h1 class="text-2xl font-bold mb-4 text-gray-800">Interact with LLM</h1>
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<textarea id="userInput" rows="4" class="w-full border border-gray-300 rounded-lg p-2 focus:ring focus:ring-blue-500" placeholder="Type your prompt here..."></textarea>
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<button id="sendButton" class="mt-4 w-full bg-blue-500 text-white font-bold py-2 px-4 rounded-lg hover:bg-blue-600">Send</button>
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<div id="outputArea" class="mt-6 bg-gray-100 border border-gray-300 rounded-lg p-4 h-48 overflow-y-auto"></div>
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</div>
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<script src="./assets/js/main.js"></script>
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</body>
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</html>
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