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<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Medical AI Assistant</title>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<link rel="stylesheet" href="/static/css/assistantStyle.css">
</head>
<body>
<header>
<nav>
<div class="logo">MedScope</div>
<ul>
<li><a href="/home/{{ user.uid }}">Home</a></li>
<li><a href="/assistant/{{ user.uid }}" class="active">Assistant</a></li>
<li><a href="/alternatives/{{ user.uid }}">Alternatives</a></li>
<li><a href="/chat/{{ user.uid }}">Chatbot</a></li>
<li><a href="/profile/{{ user.uid }}">Profile</a></li>
<li><a href="/logout">Logout</a></li>
</ul>
</nav>
</header>
<main>
<div class="insight-grid">
<div class="card diagnosis-card">
<h3>
<i class="fa-solid fa-stethoscope"></i> Potential Diagnosis
<span id="diagStatus" class="live-indicator" style="display:none; font-size:0.8rem; color:#2ecc71; margin-left:10px;">
<i class="fa-solid fa-bolt"></i> Live
</span>
</h3>
<div id="diagnosisOutput" class="card-content">Waiting for data...</div>
</div>
<div class="card questions-card">
<h3>
<i class="fa-solid fa-circle-question"></i> Suggested Questions
<span id="questStatus" class="live-indicator" style="display:none; font-size:0.8rem; color:#2ecc71; margin-left:10px;">
<i class="fa-solid fa-bolt"></i> Live
</span>
</h3>
<div id="questionsOutput" class="card-content">Waiting for data...</div>
</div>
</div>
<div class="card conversation-section">
<h3><i class="fa-solid fa-comments"></i> Live Consultation</h3>
<div id="conversationLog" class="conversation-log"></div>
<div class="controls">
<div class="status-indicator">
<div id="micStatus" class="pulse"></div>
<span id="statusText">Ready</span>
</div>
<div class="btn-group">
<button id="btnRestart" class="btn btn-restart">
<i class="fa-solid fa-microphone"></i> Start
</button>
<button id="btnFinish" class="btn btn-finish">
<i class="fa-solid fa-stop"></i> Stop
</button>
</div>
</div>
</div>
</main>
<script>
// --- CONFIGURATION ---
// Dynamically detect WS protocol (ws:// or wss://)
const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:';
const WS_URL = `${protocol}//${window.location.host}/ws/analysis/{{ user.uid }}`;
// --- DOM ELEMENTS ---
const btnRestart = document.getElementById('btnRestart');
const btnFinish = document.getElementById('btnFinish');
const conversationLog = document.getElementById('conversationLog');
const diagnosisOutput = document.getElementById('diagnosisOutput');
const questionsOutput = document.getElementById('questionsOutput');
const micStatus = document.getElementById('micStatus');
const statusText = document.getElementById('statusText');
const diagStatus = document.getElementById('diagStatus');
const questStatus = document.getElementById('questStatus');
// --- STATE ---
let isListening = false;
let conversationHistory = "";
let recognition;
let socket; // The WebSocket connection
let updateTimer = null;
// --- 1. WEBSOCKET SETUP (The Speed Booster) ---
function connectWebSocket() {
socket = new WebSocket(WS_URL);
socket.onopen = () => {
console.log("Connected to Analysis Server");
};
socket.onmessage = (event) => {
// When backend sends data, update UI instantly
const data = JSON.parse(event.data);
if (data.diagnosis) {
diagnosisOutput.innerHTML = formatLLMOutput(data.diagnosis);
diagStatus.style.display = 'inline-block';
}
if (data.questions) {
questionsOutput.innerHTML = formatLLMOutput(data.questions);
questStatus.style.display = 'inline-block';
}
// Hide the "Live" indicators after 2 seconds
setTimeout(() => {
diagStatus.style.display = 'none';
questStatus.style.display = 'none';
}, 2000);
};
socket.onclose = () => {
console.log("Disconnected. Reconnecting...");
// Simple reconnect logic
setTimeout(connectWebSocket, 3000);
};
}
// Initialize connection immediately
connectWebSocket();
// --- 2. SPEECH RECOGNITION ---
const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
if (SpeechRecognition) {
recognition = new SpeechRecognition();
recognition.continuous = true;
recognition.interimResults = false;
recognition.lang = 'en-US';
recognition.onstart = () => {
micStatus.classList.add('active');
statusText.textContent = "Listening...";
};
recognition.onend = () => {
if (isListening) {
recognition.start(); // Auto-restart (Always-on)
} else {
micStatus.classList.remove('active');
statusText.textContent = "Stopped";
}
};
recognition.onresult = (event) => {
const current = event.resultIndex;
const transcript = event.results[current][0].transcript.trim();
if(transcript) {
handleNewSpeech(transcript);
}
};
}
// --- 3. LOGIC ---
function handleNewSpeech(text) {
// Update UI Log
const timestamp = new Date().toLocaleTimeString();
conversationLog.innerHTML += `<div class="log-entry patient"><strong>[${timestamp}]</strong> ${text}</div>`;
conversationLog.scrollTop = conversationLog.scrollHeight;
conversationHistory += `Patient: ${text}\n`;
// SEND TO BACKEND VIA WEBSOCKET IMMEDIATELY
// Debounce slightly to avoid spamming if speech is choppy (wait 1s after speech stops)
clearTimeout(updateTimer);
updateTimer = setTimeout(() => {
if (socket && socket.readyState === WebSocket.OPEN) {
statusText.textContent = "Analyzing...";
socket.send(JSON.stringify({ history: conversationHistory }));
}
}, 1000);
}
btnRestart.addEventListener('click', () => {
if (!recognition) return;
conversationHistory = "";
conversationLog.innerHTML = "";
isListening = true;
recognition.start();
});
btnFinish.addEventListener('click', () => {
isListening = false;
recognition.stop();
});
// Formatter
function formatLLMOutput(text) {
if (!text) return "";
let formatted = text.replace(/\n/g, '<br>');
formatted = formatted.replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>');
formatted = formatted.replace(/^\* /gm, '• ');
return formatted;
}
</script>
</body>
</html>
<!-- <script>
// --- CONFIGURATION ---
const API_URL = "";
const ANALYSIS_INTERVAL_MS = 5000; // Frequency of analysis (5 seconds)
// --- DOM ELEMENTS ---
const btnRestart = document.getElementById('btnRestart');
const btnFinish = document.getElementById('btnFinish');
const conversationLog = document.getElementById('conversationLog');
const diagnosisOutput = document.getElementById('diagnosisOutput');
const questionsOutput = document.getElementById('questionsOutput');
const micStatus = document.getElementById('micStatus');
const statusText = document.getElementById('statusText');
const diagStatus = document.getElementById('diagStatus');
const questStatus = document.getElementById('questStatus');
// --- STATE ---
let isListening = false;
let isAnalyzing = false; // Prevents overlapping API calls
let conversationHistory = "";
let recognition;
let analysisTimer = null; // Stores the interval ID
let lastAnalyzedLength = 0; // To check if we actually have NEW text
// --- SPEECH RECOGNITION SETUP ---
const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
if (SpeechRecognition) {
recognition = new SpeechRecognition();
recognition.continuous = true;
recognition.interimResults = false;
recognition.lang = 'en-US';
recognition.onstart = () => {
isListening = true;
micStatus.classList.add('active');
statusText.textContent = "Listening and Analyzing...";
};
recognition.onend = () => {
if (isListening) {
recognition.start();
} else {
micStatus.classList.remove('active');
statusText.textContent = "Session Ended";
}
};
recognition.onresult = (event) => {
const current = event.resultIndex;
const transcript = event.results[current][0].transcript.trim();
if(transcript) {
handleNewSpeech(transcript);
}
};
recognition.onerror = (event) => {
console.error("Speech Error:", event.error);
if(event.error === 'not-allowed') {
alert("Microphone access denied.");
stopSession();
}
};
} else {
alert("Browser not supported. Please use Chrome/Edge.");
btnRestart.disabled = true;
}
// --- CONTROLS ---
btnRestart.addEventListener('click', () => {
if (!recognition) return;
// Reset State
conversationHistory = "";
lastAnalyzedLength = 0;
conversationLog.innerHTML = "";
diagnosisOutput.innerHTML = "<i>Listening for symptoms...</i>";
questionsOutput.innerHTML = "<i>Listening for context...</i>";
isListening = true;
isAnalyzing = false;
// Start Speech
try {
recognition.start();
} catch (e) { console.log("Mic already active"); }
// Start Auto-Analysis Loop
startAnalysisLoop();
});
btnFinish.addEventListener('click', () => {
stopSession();
});
function stopSession() {
isListening = false;
if (recognition) recognition.stop();
// Stop the loop
if (analysisTimer) clearInterval(analysisTimer);
diagStatus.classList.remove('active');
questStatus.classList.remove('active');
statusText.textContent = "Session Finished";
}
// --- LOGIC ---
function handleNewSpeech(text) {
const timestamp = new Date().toLocaleTimeString();
const newEntry = `<div class="log-entry patient"><strong>[${timestamp}]</strong> ${text}</div>`;
conversationLog.innerHTML += newEntry;
conversationLog.scrollTop = conversationLog.scrollHeight;
conversationHistory += `Patient: ${text}\n`;
}
function startAnalysisLoop() {
// Clear any existing timer just in case
if (analysisTimer) clearInterval(analysisTimer);
// Set new timer
analysisTimer = setInterval(() => {
// 1. Check if we are already analyzing (don't stack requests)
// 2. Check if we actually have history
// 3. Check if there is NEW data since last time (optimization)
if (!isAnalyzing && conversationHistory.length > lastAnalyzedLength) {
fetchAnalysis(conversationHistory);
}
}, ANALYSIS_INTERVAL_MS);
}
// Markdown to HTML formatter
function formatLLMOutput(text) {
if (!text) return "No data available.";
let formatted = text.replace(/\n/g, '<br>');
formatted = formatted.replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>');
formatted = formatted.replace(/^\* /gm, '• ');
return formatted;
}
async function fetchAnalysis(history) {
isAnalyzing = true;
// Show small spinner icons next to headers
diagStatus.classList.add('active');
questStatus.classList.add('active');
// Update 'checkpoint' so we know what we've analyzed
lastAnalyzedLength = history.length;
try {
const response = await fetch(`${API_URL}/get-analysis`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ history: history })
});
if (!response.ok) throw new Error(`Backend error: ${response.statusText}`);
const data = await response.json();
if (data.diagnosis) diagnosisOutput.innerHTML = formatLLMOutput(data.diagnosis);
if (data.questions) questionsOutput.innerHTML = formatLLMOutput(data.questions);
} catch (error) {
console.error("API Error:", error);
// Don't wipe the old data on error, just log it
} finally {
isAnalyzing = false;
// Hide spinners
diagStatus.classList.remove('active');
questStatus.classList.remove('active');
}
}
</script> -->
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