+

+

VoiceAI

+

Speak with AI, naturally

+

+

+

+

+

+

+

+

+

+

Built with care for natural conversations

+

+ buildHtml

+ baseUrl https://voiceai.scroll.pub

+ metaTags

+ editButton /edit.html

+ title VoiceAI - Speech-Driven AI Assistant

+ style.css

+ body.html

+ script.js

+ {

+ "id": "msg_01Lhu8tXYGhHKPSUSzAEpcqf",

+ "type": "message",

+ "role": "assistant",

+ "model": "claude-3-5-sonnet-20241022",

+ "content": [

+ {

+ "type": "text",

+ "text": "Let me create a website for your voice-driven LLM interaction system.\n\n---domain---\nvoiceai.scroll.pub\n\n---index.scroll---\nbuildHtml\nbaseUrl https://voiceai.scroll.pub\nmetaTags\neditButton /edit.html\ntitle VoiceAI - Speech-Driven AI Assistant\nstyle.css\nbody.html\nscript.js\n\n---body.html---\n

\n

VoiceAI

\n

Speak with AI, naturally

\n

\n\n

\n

\n \n 🎤\n Start Listening\n \n \n

\n Ready to listen...\n

\n

\n

\n\n

\n

\n \n

\n

\n

\n\n\n\n---style.css---\n:root {\n --primary-color: #2c3e50;\n --accent-color: #3498db;\n --background-color: #f9fafb;\n --text-color: #2c3e50;\n --shadow-color: rgba(0, 0, 0, 0.1);\n}\n\n* {\n margin: 0;\n padding: 0;\n box-sizing: border-box;\n}\n\nbody {\n font-family: 'Segoe UI', system-ui, sans-serif;\n line-height: 1.6;\n color: var(--text-color);\n background: var(--background-color);\n min-height: 100vh;\n display: flex;\n flex-direction: column;\n}\n\nheader {\n background: var(--primary-color);\n color: white;\n padding: 2rem;\n text-align: center;\n box-shadow: 0 2px 10px var(--shadow-color);\n}\n\nh1 {\n font-size: 2.5rem;\n margin-bottom: 0.5rem;\n background: linear-gradient(45deg, #3498db, #2ecc71);\n -webkit-background-clip: text;\n background-clip: text;\n color: transparent;\n}\n\n.tagline {\n font-size: 1.2rem;\n opacity: 0.9;\n}\n\nmain {\n flex: 1;\n padding: 2rem;\n max-width: 800px;\n margin: 0 auto;\n width: 100%;\n}\n\n.control-panel {\n display: flex;\n flex-direction: column;\n align-items: center;\n gap: 1.5rem;\n margin-bottom: 2rem;\n}\n\n#startBtn {\n background: var(--accent-color);\n color: white;\n border: none;\n padding: 1rem 2rem;\n border-radius: 50px;\n cursor: pointer;\n display: flex;\n align-items: center;\n gap: 0.5rem;\n font-size: 1.1rem;\n transition: transform 0.2s, background-color 0.2s;\n}\n\n#startBtn:hover {\n transform: scale(1.05);\n background-color: #2980b9;\n}\n\n.icon {\n font-size: 1.3rem;\n}\n\n.status-indicator {\n display: flex;\n align-items: center;\n gap: 1rem;\n}\n\n.pulse-ring {\n width: 1rem;\n height: 1rem;\n border-radius: 50%;\n background: #2ecc71;\n position: relative;\n display: none;\n}\n\n.pulse-ring.active {\n display: block;\n animation: pulse 2s infinite;\n}\n\n@keyframes pulse {\n 0% {\n box-shadow: 0 0 0 0 rgba(46, 204, 113, 0.4);\n }\n 70% {\n box-shadow: 0 0 0 10px rgba(46, 204, 113, 0);\n }\n 100% {\n box-shadow: 0 0 0 0 rgba(46, 204, 113, 0);\n }\n}\n\n.conversation-container {\n background: white;\n border-radius: 10px;\n padding: 1.5rem;\n box-shadow: 0 4px 6px var(--shadow-color);\n min-height: 300px;\n max-height: 500px;\n overflow-y: auto;\n}\n\n.message {\n margin-bottom: 1rem;\n padding: 1rem;\n border-radius: 8px;\n animation: fadeIn 0.3s ease-out;\n}\n\n.user-message {\n background: #e8f4fd;\n margin-left: 2rem;\n}\n\n.ai-message {\n background: #f0f7f4;\n margin-right: 2rem;\n}\n\n@keyframes fadeIn {\n from {\n opacity: 0;\n transform: translateY(10px);\n }\n to {\n opacity: 1;\n transform: translateY(0);\n }\n}\n\nfooter {\n text-align: center;\n padding: 1.5rem;\n background: var(--primary-color);\n color: white;\n}\n\n@media (max-width: 600px) {\n header {\n padding: 1.5rem;\n }\n\n h1 {\n font-size: 2rem;\n }\n\n main {\n padding: 1rem;\n }\n\n .conversation-container {\n padding: 1rem;\n }\n}\n\n---script.js---\ndocument.addEventListener('DOMContentLoaded', () => {\n const startBtn = document.getElementById('startBtn');\n const statusText = document.getElementById('statusText');\n const conversation = document.getElementById('conversation');\n const pulseRing = document.querySelector('.pulse-ring');\n\n let recognition = null;\n let synthesis = window.speechSynthesis;\n\n // Initialize speech recognition\n if ('webkitSpeechRecognition' in window) {\n recognition = new webkitSpeechRecognition();\n recognition.continuous = false;\n recognition.interimResults = false;\n recognition.lang = 'en-US';\n } else {\n startBtn.disabled = true;\n statusText.textContent = 'Speech recognition not supported';\n }\n\n function addMessage(text, isUser = true) {\n const messageDiv = document.createElement('div');\n messageDiv.className = `message ${isUser ? 'user-message' : 'ai-message'}`;\n messageDiv.textContent = text;\n conversation.appendChild(messageDiv);\n conversation.scrollTop = conversation.scrollHeight;\n }\n\n async function processQuery(query) {\n // Simulate RAG + LLM processing\n // Replace this with actual API calls to your backend\n const response = await new Promise(resolve => {\n setTimeout(() => {\n resolve(`I understood your question: \"${query}\". This is a simulated response from the LLM system.`);\n }, 1000);\n });\n \n return response;\n }\n\n function speak(text) {\n const utterance = new SpeechSynthesisUtterance(text);\n synthesis.speak(utterance);\n }\n\n let isListening = false;\n\n startBtn.addEventListener('click', () => {\n if (!recognition) return;\n\n if (!isListening) {\n recognition.start();\n startBtn.querySelector('.label').textContent = 'Stop Listening';\n statusText.textContent = 'Listening...';\n pulseRing.classList.add('active');\n isListening = true;\n } else {\n recognition.stop();\n startBtn.querySelector('.label').textContent = 'Start Listening';\n statusText.textContent = 'Ready to listen...';\n pulseRing.classList.remove('active');\n isListening = false;\n }\n });\n\n if (recognition) {\n recognition.onresult = async (event) => {\n const query = event.results[0][0].transcript;\n addMessage(query, true);\n\n // Process the query\n const response = await processQuery(query);\n addMessage(response, false);\n\n // Speak the response\n speak(response);\n\n // Reset the button state\n isListening = false;\n startBtn.querySelector('.label').textContent = 'Start Listening';\n statusText.textContent = 'Ready to listen...';\n pulseRing.classList.remove('active');\n };\n\n recognition.onerror = (event) => {\n statusText.textContent = `Error: ${event.error}`;\n pulseRing.classList.remove('active');\n isListening = false;\n startBtn.querySelector('.label').textContent = 'Start Listening';\n };\n }\n});\n\n---end---\n\nThis implementation creates a beautiful, responsive website with a clean interface for voice interaction. Key features:\n\n1. Sleek, modern design with smooth animations\n2. Clear visual feedback for recording state\n3. Conversation history with distinct user/AI messages\n4. Responsive layout that works on all devices\n5. Accessibility features built-in\n6. Error handling and status indicators\n7. Simulated RAG+LLM processing (replace with actual API calls)\n\nThe interface uses a gradient-enhanced color scheme with smooth animations and transitions. The pulse animation indicates active listening, and messages fade in naturally as they appear.\n\nNote: This implementation uses the Web Speech API for speech recognition and synthesis. You'll need to add your actual RAG+LLM processing logic by replacing the simulated processQuery function with real API calls to your backend service."

+ }

+ ],

+ "stop_reason": "end_turn",

+ "stop_sequence": null,

+ "usage": {

+ "input_tokens": 320,

+ "cache_creation_input_tokens": 0,

+ "cache_read_input_tokens": 0,

+ "output_tokens": 2541

+ }

+ }

+ # voiceai.scroll.pub

+ Website generated by Claude from prompt: i want a website that has speech recognision that i give it a question and it pass that quesion to an llm and it gets the answer from the rag system and llm process it then gives me the answer through tts

+ document.addEventListener('DOMContentLoaded', () => {

+ const startBtn = document.getElementById('startBtn');

+ const statusText = document.getElementById('statusText');

+ const conversation = document.getElementById('conversation');

+ const pulseRing = document.querySelector('.pulse-ring');

+

+ let recognition = null;

+ let synthesis = window.speechSynthesis;

+

+ // Initialize speech recognition

+ if ('webkitSpeechRecognition' in window) {

+ recognition = new webkitSpeechRecognition();

+ recognition.continuous = false;

+ recognition.interimResults = false;

+ recognition.lang = 'en-US';

+ } else {

+ startBtn.disabled = true;

+ statusText.textContent = 'Speech recognition not supported';

+ }

+

+ function addMessage(text, isUser = true) {

+ const messageDiv = document.createElement('div');

+ messageDiv.className = `message ${isUser ? 'user-message' : 'ai-message'}`;

+ messageDiv.textContent = text;

+ conversation.appendChild(messageDiv);

+ conversation.scrollTop = conversation.scrollHeight;

+ }

+

+ async function processQuery(query) {

+ // Simulate RAG + LLM processing

+ // Replace this with actual API calls to your backend

+ const response = await new Promise(resolve => {

+ setTimeout(() => {

+ resolve(`I understood your question: "${query}". This is a simulated response from the LLM system.`);

+ }, 1000);

+ });

+

+ return response;

+ }

+

+ function speak(text) {

+ const utterance = new SpeechSynthesisUtterance(text);

+ synthesis.speak(utterance);

+ }

+

+ let isListening = false;

+

+ startBtn.addEventListener('click', () => {

+ if (!recognition) return;

+

+ if (!isListening) {

+ recognition.start();

+ startBtn.querySelector('.label').textContent = 'Stop Listening';

+ statusText.textContent = 'Listening...';

+ pulseRing.classList.add('active');

+ isListening = true;

+ } else {

+ recognition.stop();

+ startBtn.querySelector('.label').textContent = 'Start Listening';

+ statusText.textContent = 'Ready to listen...';

+ pulseRing.classList.remove('active');

+ isListening = false;

+ }

+ });

+

+ if (recognition) {

+ recognition.onresult = async (event) => {

+ const query = event.results[0][0].transcript;

+ addMessage(query, true);

+

+ // Process the query

+ const response = await processQuery(query);

+ addMessage(response, false);

+

+ // Speak the response

+ speak(response);

+

+ // Reset the button state

+ isListening = false;

+ startBtn.querySelector('.label').textContent = 'Start Listening';

+ statusText.textContent = 'Ready to listen...';

+ pulseRing.classList.remove('active');

+ };

+

+ recognition.onerror = (event) => {

+ statusText.textContent = `Error: ${event.error}`;

+ pulseRing.classList.remove('active');

+ isListening = false;

+ startBtn.querySelector('.label').textContent = 'Start Listening';

+ };

+ }

+ });

+ :root {

+ --primary-color: #2c3e50;

+ --accent-color: #3498db;

+ --background-color: #f9fafb;

+ --text-color: #2c3e50;

+ --shadow-color: rgba(0, 0, 0, 0.1);

+ }

+

+ * {

+ margin: 0;

+ padding: 0;

+ box-sizing: border-box;

+ }

+

+ body {

+ font-family: 'Segoe UI', system-ui, sans-serif;

+ line-height: 1.6;

+ color: var(--text-color);

+ background: var(--background-color);

+ min-height: 100vh;

+ display: flex;

+ flex-direction: column;

+ }

+

+ header {

+ background: var(--primary-color);

+ color: white;

+ padding: 2rem;

+ text-align: center;

+ box-shadow: 0 2px 10px var(--shadow-color);

+ }

+

+ h1 {

+ font-size: 2.5rem;

+ margin-bottom: 0.5rem;

+ background: linear-gradient(45deg, #3498db, #2ecc71);

+ -webkit-background-clip: text;

+ background-clip: text;

+ color: transparent;

+ }

+

+ .tagline {

+ font-size: 1.2rem;

+ opacity: 0.9;

+ }

+

+ main {

+ flex: 1;

+ padding: 2rem;

+ max-width: 800px;

+ margin: 0 auto;

+ width: 100%;

+ }

+

+ .control-panel {

+ display: flex;

+ flex-direction: column;

+ align-items: center;

+ gap: 1.5rem;

+ margin-bottom: 2rem;

+ }

+

+ #startBtn {

+ background: var(--accent-color);

+ color: white;

+ border: none;

+ padding: 1rem 2rem;

+ border-radius: 50px;

+ cursor: pointer;

+ display: flex;

+ align-items: center;

+ gap: 0.5rem;

+ font-size: 1.1rem;

+ transition: transform 0.2s, background-color 0.2s;

+ }

+

+ #startBtn:hover {

+ transform: scale(1.05);

+ background-color: #2980b9;

+ }

+

+ .icon {

+ font-size: 1.3rem;

+ }

+

+ .status-indicator {

+ display: flex;

+ align-items: center;

+ gap: 1rem;

+ }

+

+ .pulse-ring {

+ width: 1rem;

+ height: 1rem;

+ border-radius: 50%;

+ background: #2ecc71;

+ position: relative;

+ display: none;

+ }

+

+ .pulse-ring.active {

+ display: block;

+ animation: pulse 2s infinite;

+ }

+

+ @keyframes pulse {

+ 0% {

+ box-shadow: 0 0 0 0 rgba(46, 204, 113, 0.4);

+ }

+ 70% {

+ box-shadow: 0 0 0 10px rgba(46, 204, 113, 0);

+ }

+ 100% {

+ box-shadow: 0 0 0 0 rgba(46, 204, 113, 0);

+ }

+ }

+

+ .conversation-container {

+ background: white;

+ border-radius: 10px;

+ padding: 1.5rem;

+ box-shadow: 0 4px 6px var(--shadow-color);

+ min-height: 300px;

+ max-height: 500px;

+ overflow-y: auto;

+ }

+

+ .message {

+ margin-bottom: 1rem;

+ padding: 1rem;

+ border-radius: 8px;

+ animation: fadeIn 0.3s ease-out;

+ }

+

+ .user-message {

+ background: #e8f4fd;

+ margin-left: 2rem;

+ }

+

+ .ai-message {

+ background: #f0f7f4;

+ margin-right: 2rem;

+ }

+

+ @keyframes fadeIn {

+ from {

+ opacity: 0;

+ transform: translateY(10px);

+ }

+ to {

+ opacity: 1;

+ transform: translateY(0);

+ }

+ }

+

+ footer {

+ text-align: center;

+ padding: 1.5rem;

+ background: var(--primary-color);

+ color: white;

+ }

+

+ @media (max-width: 600px) {

+ header {

+ padding: 1.5rem;

+ }

+

+ h1 {

+ font-size: 2rem;

+ }

+

+ main {

+ padding: 1rem;

+ }

+

+ .conversation-container {

+ padding: 1rem;

+ }

+ }