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。

帮我写一个调用chatgpt的html代码

原文地址: https://www.cveoy.top/t/topic/FJU 著作权归作者所有。请勿转载和采集!

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