tbvinh · July 19, 2024 11:29
diff --git a/hello-2.html b/hello-2.html
 <!DOCTYPE html>
 <html lang="en">
 <head>
  <meta charset="utf-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>hello-02.html</title>
  <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest"></script>
  <script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/universal-sentence-encoder@latest"></script>
  <style>
    body {
      font-family: Arial, sans-serif;
    }
    #chat {
      max-width: 600px;
      margin: 50px auto;
      padding: 20px;
      border: 1px solid #ccc;
      border-radius: 10px;
      box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
    }
    #messages {
      list-style: none;
      padding: 0;
    }
    #messages li {
      padding: 8px;
      margin-bottom: 10px;
      border-bottom: 1px solid #ccc;
    }
    #input {
      display: flex;
    }
    #input input {
      flex: 1;
      padding: 10px;
      border: 1px solid #ccc;
      border-radius: 5px;
      margin-right: 10px;
    }
    #input button {
      padding: 10px 20px;
      border: none;
      background-color: #007bff;
      color: white;
      border-radius: 5px;
      cursor: pointer;
    }
    #input button:hover {
      background-color: #0056b3;
    }
    #input button:disabled {
      background-color: gray;
      cursor: not-allowed;
    }
 	
 /* Ensure the container takes up the full viewport */
 .spinner-container {
  position: fixed; /* Fixed positioning to cover the entire viewport */
  top: 0;
  left: 0;
  width: 100%;
  height: 100%;
  display: flex;
  justify-content: center; /* Center horizontally */
  align-items: center; /* Center vertically */
  background-color: rgba(0, 0, 0, 0.2); /* Optional: Semi-transparent background */
  z-index: 1000; /* Ensure it's on top of other content */
 }

 /* Spinner style */
 .spinner {
  border: 16px solid #f3f3f3; /* Light grey */
  border-top: 16px solid #3498db; /* Blue */
  border-radius: 50%;
  width: 120px;
  height: 120px;
  animation: spin 2s linear infinite;
 }

 /* Keyframes for spinner animation */
 @keyframes spin {
  0% { transform: rotate(0deg); }
  100% { transform: rotate(360deg); }
 }

  </style>
 </head>
 <body>
  <div id="spinner" class="spinner" style="display: none;"></div>
  <div id="chat">
    <ul id="messages"></ul>
    <div id="input">
      <input type="text" id="userInput" placeholder="Type your message here...">
      <button id="send" disabled>Send</button>
    </div>
  </div>

  <div id="spinner-container" class="spinner-container">
 	  <div class="spinner"></div>
  </div>
  
  <script>
  // Dữ liệu cần train
  const intents = {
   greeting: ["hello", "hi", "hey", "good morning", "good evening", "howdy"],
   goodbye: ["bye", "goodbye", "see you later", "farewell", "catch you later"],
   thanks: ["thank you", "thanks", "much appreciated", "thank you very much"],
   };
  const responses = {
   greeting: "Hello! How can I help you today?",
   goodbye: "Goodbye! Have a great day!",
   thanks: "You're welcome! If you have any other questions, feel free to ask.",
   }
  // ngưỡng tính toán 50%, còn không thì nói "tui không hiểu"
  
  const confidenceThreshold = 0.5;  // Minimum confidence score to consider a valid intent
  
  // Load the Universal Sentence Encoder model
 	let model;
 	use.load().then((loadedModel) => {
 	  model = loadedModel;
 	  console.log("Model loaded");	    
 	  document.getElementById('send').disabled = false; // Enable send button once model is loaded
 	  document.getElementById('userInput').disabled = false; // Enable input field once model is loaded
 	  document.getElementById('spinner-container').style.display = 'none'; // Hide spinner once model is loaded
 	});
   //
    document.getElementById('send').disabled = true; // Disable send button initially
 	document.getElementById('userInput').disabled = true; // Disable input field initially
 	document.getElementById('spinner-container').style.display = 'flex'; // Show spinner
   //
   async function recognizeIntent(userInput) {
 	  if (!model) {
 		throw new Error("Model is not loaded yet.");
 	  }
 	  document.getElementById('spinner-container').style.display = 'flex';
 	  const userInputEmb = await model.embed([userInput]);
 	  let maxScore = -1;
 	  let recognizedIntent = null;

 	  for (const [intent, examples] of Object.entries(intents)) {
 		const examplesEmb = await model.embed(examples);
 		const scores = await tf.matMul(userInputEmb, examplesEmb, false, true).data();
 		const maxExampleScore = Math.max(...scores);
 		if (maxExampleScore > maxScore) {
 		  maxScore = maxExampleScore;
 		  recognizedIntent = intent;
 		}
 	  }
 	  
 	  if (maxScore < confidenceThreshold) {
 		recognizedIntent = null;  // If confidence is too low, do not recognize any intent
 	  }
 	  document.getElementById('spinner-container').style.display = 'none';
 	  return recognizedIntent;
 	}

 	async function generateResponse(userInput) {
 	  const intent = await recognizeIntent(userInput);
 	  if (intent && responses[intent]) {
 		return responses[intent];
 	  } else {
 		return "I'm sorry, I don't understand that. Can you please rephrase?";
 	  }
 	}

 	document.getElementById('send').addEventListener('click', async () => {
 	  const userInput = document.getElementById('userInput').value.trim();
 	  if (userInput === '') return;

 	  const messages = document.getElementById('messages');
 	  const userMessage = document.createElement('li');
 	  userMessage.textContent = `User: ${userInput}`;
 	  messages.appendChild(userMessage);

 	  try {
 		const response = await generateResponse(userInput);
 		const botMessage = document.createElement('li');
 		botMessage.textContent = `Chatbot: ${response}`;
 		messages.appendChild(botMessage);
 	  } catch (error) {
 		console.error(error);
 		const errorMessage = document.createElement('li');
 		errorMessage.textContent = `Chatbot: An error occurred. Please try again later.`;
 		messages.appendChild(errorMessage);
 	  }

 	  document.getElementById('userInput').value = '';
 	});
  </script>
 </body>
 </html>
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>hello-02.html</title>
	<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest"></script>
	<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/universal-sentence-encoder@latest"></script>
	<style>
	body {
	font-family: Arial, sans-serif;
	}
	#chat {
	max-width: 600px;
	margin: 50px auto;
	padding: 20px;
	border: 1px solid #ccc;
	border-radius: 10px;
	box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
	}
	#messages {
	list-style: none;
	padding: 0;
	}
	#messages li {
	padding: 8px;
	margin-bottom: 10px;
	border-bottom: 1px solid #ccc;
	}
	#input {
	display: flex;
	}
	#input input {
	flex: 1;
	padding: 10px;
	border: 1px solid #ccc;
	border-radius: 5px;
	margin-right: 10px;
	}
	#input button {
	padding: 10px 20px;
	border: none;
	background-color: #007bff;
	color: white;
	border-radius: 5px;
	cursor: pointer;
	}
	#input button:hover {
	background-color: #0056b3;
	}
	#input button:disabled {
	background-color: gray;
	cursor: not-allowed;
	}

	/* Ensure the container takes up the full viewport */
	.spinner-container {
	position: fixed; /* Fixed positioning to cover the entire viewport */
	top: 0;
	left: 0;
	width: 100%;
	height: 100%;
	display: flex;
	justify-content: center; /* Center horizontally */
	align-items: center; /* Center vertically */
	background-color: rgba(0, 0, 0, 0.2); /* Optional: Semi-transparent background */
	z-index: 1000; /* Ensure it's on top of other content */
	}

	/* Spinner style */
	.spinner {
	border: 16px solid #f3f3f3; /* Light grey */
	border-top: 16px solid #3498db; /* Blue */
	border-radius: 50%;
	width: 120px;
	height: 120px;
	animation: spin 2s linear infinite;
	}

	/* Keyframes for spinner animation */
	@keyframes spin {
	0% { transform: rotate(0deg); }
	100% { transform: rotate(360deg); }
	}

	</style>
	</head>
	<body>
	<div id="spinner" class="spinner" style="display: none;"></div>
	<div id="chat">
	<ul id="messages"></ul>
	<div id="input">
	<input type="text" id="userInput" placeholder="Type your message here...">
	<button id="send" disabled>Send</button>
	</div>
	</div>

	<div id="spinner-container" class="spinner-container">
	<div class="spinner"></div>
	</div>

	<script>
	// Dữ liệu cần train
	const intents = {
	greeting: ["hello", "hi", "hey", "good morning", "good evening", "howdy"],
	goodbye: ["bye", "goodbye", "see you later", "farewell", "catch you later"],
	thanks: ["thank you", "thanks", "much appreciated", "thank you very much"],
	};
	const responses = {
	greeting: "Hello! How can I help you today?",
	goodbye: "Goodbye! Have a great day!",
	thanks: "You're welcome! If you have any other questions, feel free to ask.",
	}
	// ngưỡng tính toán 50%, còn không thì nói "tui không hiểu"

	const confidenceThreshold = 0.5; // Minimum confidence score to consider a valid intent

	// Load the Universal Sentence Encoder model
	let model;
	use.load().then((loadedModel) => {
	model = loadedModel;
	console.log("Model loaded");
	document.getElementById('send').disabled = false; // Enable send button once model is loaded
	document.getElementById('userInput').disabled = false; // Enable input field once model is loaded
	document.getElementById('spinner-container').style.display = 'none'; // Hide spinner once model is loaded
	});
	//
	document.getElementById('send').disabled = true; // Disable send button initially
	document.getElementById('userInput').disabled = true; // Disable input field initially
	document.getElementById('spinner-container').style.display = 'flex'; // Show spinner
	//
	async function recognizeIntent(userInput) {
	if (!model) {
	throw new Error("Model is not loaded yet.");
	}
	document.getElementById('spinner-container').style.display = 'flex';
	const userInputEmb = await model.embed([userInput]);
	let maxScore = -1;
	let recognizedIntent = null;

	for (const [intent, examples] of Object.entries(intents)) {
	const examplesEmb = await model.embed(examples);
	const scores = await tf.matMul(userInputEmb, examplesEmb, false, true).data();
	const maxExampleScore = Math.max(...scores);
	if (maxExampleScore > maxScore) {
	maxScore = maxExampleScore;
	recognizedIntent = intent;
	}
	}

	if (maxScore < confidenceThreshold) {
	recognizedIntent = null; // If confidence is too low, do not recognize any intent
	}
	document.getElementById('spinner-container').style.display = 'none';
	return recognizedIntent;
	}

	async function generateResponse(userInput) {
	const intent = await recognizeIntent(userInput);
	if (intent && responses[intent]) {
	return responses[intent];
	} else {
	return "I'm sorry, I don't understand that. Can you please rephrase?";
	}
	}

	document.getElementById('send').addEventListener('click', async () => {
	const userInput = document.getElementById('userInput').value.trim();
	if (userInput === '') return;

	const messages = document.getElementById('messages');
	const userMessage = document.createElement('li');
	userMessage.textContent = `User: ${userInput}`;
	messages.appendChild(userMessage);

	try {
	const response = await generateResponse(userInput);
	const botMessage = document.createElement('li');
	botMessage.textContent = `Chatbot: ${response}`;
	messages.appendChild(botMessage);
	} catch (error) {
	console.error(error);
	const errorMessage = document.createElement('li');
	errorMessage.textContent = `Chatbot: An error occurred. Please try again later.`;
	messages.appendChild(errorMessage);
	}

	document.getElementById('userInput').value = '';
	});
	</script>
	</body>
	</html>