ChatGPT HTML 代码：构建你的聊天机器人
以下是一个基本的调用 ChatGPT 的 HTML 代码：
<!DOCTYPE html>
<html>
<head>
<meta charset='UTF-8'>
<title>ChatGPT Demo</title>
<script src='https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@3.9.0/dist/tf.min.js'></script>
<script src='https://cdn.jsdelivr.net/npm/@tensorflow-models/universal-sentence-encoder@4.2.0/dist/embedding.js'></script>
<script src='https://cdn.jsdelivr.net/npm/@tensorflow-models/gpt2@2.0.2/dist/browser/gpt2.min.js'></script>
<script src='https://cdn.jsdelivr.net/npm/@tensorflow-models/gpt3@1.0.0/dist/browser/gpt3.min.js'></script>
</head>
<body>
<div id='chat-window'></div>
<input type='text' id='chat-message' placeholder='Type here...'>
<button id='send-button'>Send</button>
<script>
async function chat() {
const encoder = await universalSentenceEncoder.load();
const gpt = await tf.loadGraphModel('https://storage.googleapis.com/tfjs-models/tfjs/ChatGPT/model.json');
const gpt2 = await gpt2Browser.load({modelPath: 'https://cdn.jsdelivr.net/gh/minimaxir/gpt-2-simple/web_model/gpt2/', metadataPath: 'https://cdn.jsdelivr.net/gh/minimaxir/gpt-2-simple/web_model/gpt2/metadata.json'});
const gpt3 = await tf.loadGraphModel('https://tfhub.dev/tensorflow/gpt3/1?tfjs-format=compressed');
const chatWindow = document.getElementById('chat-window');
const chatMessage = document.getElementById('chat-message');
const sendButton = document.getElementById('send-button');
sendButton.addEventListener('click', async () => {
const message = chatMessage.value.trim();
if (message !== '') {
chatMessage.value = '';
chatWindow.innerHTML += '<div><strong>You:</strong> ' + message + '</div>';
const embeddings = encoder.embed([message]);
const response = await gpt2.generate({seed: embeddings.slice([0, 0], [1, 512]), length: 50, temperature: 0.5});
const text = response.text.join('').trim();
const responseEmbeddings = encoder.embed([text]);
const chatResponse = await gpt3.execute({input: responseEmbeddings.slice([0, 0], [1, 512]), maxLength: 50, temperature: 0.5, topP: 0.9});
chatWindow.innerHTML += '<div><strong>Chatbot:</strong> ' + chatResponse.output[0].text + '</div>';
}
});
}
chat();
</script>
</body>
</html>
这个代码使用了 TensorFlow.js、Universal Sentence Encoder、GPT-2 和 GPT-3 模型来创建一个简单的聊天机器人。它包括一个聊天窗口、一个输入框和一个发送按钮。当用户输入一条消息并点击发送按钮时，代码将使用 Universal Sentence Encoder 将消息编码为向量，然后使用 GPT-2 生成一个响应。最后，它使用 GPT-3 对响应进行微调，以生成最终的聊天机器人响应。
原文地址: https://www.cveoy.top/t/topic/lVPZ 著作权归作者所有。请勿转载和采集!