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chatbot_v2_sup.html
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434 lines (371 loc) · 11.4 KB
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<head>
<link
href="https://cdn.jsdelivr.net/npm/prismjs@1.30.0/themes/prism-tomorrow.min.css"
rel="stylesheet"
/>
<style>
.pre-question {
text-wrap: pretty;
width: max-content;
max-width: 500px;
padding: 1rem;
}
.pre-response {
margin: auto 0;
padding: 1rem 1rem 0;
text-wrap: pretty;
border-radius: 0.375rem;
}
.pre-response pre {
margin-bottom: 1rem;
border-radius: 0.375rem;
}
.pre-response ol,
.pre-response ul {
margin-bottom: 0.5rem !important;
}
.pre-response p {
padding-bottom: 0 !important;
margin-bottom: 0 !important;
}
pre code[class*="language-"] {
font-family: "Courier New", Consolas, monospace !important;
}
/* Ensure inline code never gets block code styling */
:not(pre) > code[class*="language-"] {
background: inherit !important;
color: inherit !important;
padding: 0.2em 0.4em !important;
font-size: 85% !important;
border-radius: 3px !important;
}
#chatResp blockquote {
border-left: 4px solid #ddd;
margin: 0;
padding-left: 1em;
color: #666;
}
.btn {
float: right !important;
}
.btn.is-on {
background: #dc3545;
animation: pulse 1.5s ease-in-out infinite;
}
@keyframes pulse {
0%,
100% {
opacity: 1;
}
50% {
opacity: 0.65;
}
}
.loading-modal {
background: white;
border-radius: 12px;
padding: 2rem;
text-align: center;
box-shadow: 0 20px 40px rgba(0, 0, 0, 0.3);
max-width: 300px;
width: 90%;
}
.loading-spinner {
width: 40px;
height: 40px;
border: 4px solid #f3f3f3;
border-top: 4px solid #007bff;
border-radius: 50%;
animation: spin 1s linear infinite;
margin: 0 auto 1rem;
}
@keyframes spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
#loadingOverlay {
position: fixed;
top: 0;
left: 0;
width: 100vw;
height: 100vh;
background: rgba(0, 0, 0, 0.6);
display: none;
justify-content: center;
align-items: center;
z-index: 99999;
backdrop-filter: blur(2px);
}
.loading-text {
color: #333;
font-size: 16px;
font-weight: 500;
margin-bottom: 0.5rem;
}
</style>
</head>
<body>
<!-- Loading Overlay -->
<div id="loadingOverlay">
<div class="loading-modal">
<div class="loading-spinner"></div>
<div class="loading-text">Generating Response</div>
</div>
</div>
<!-- Button for microphone and data to hold results -->
<button
id="chatMic"
type="button"
class="btn btn-lg btn-primary"
style="display: none"
>
<i class="bi bi-mic-mute fs-6"></i>
</button>
<div id="chatQues" style="display: none" data-plbevent="click"></div>
<div id="chatResp" style="display: none" data-plbevent="click"></div>
<!-- Load Marked -->
<script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
<script type="text/javascript">
// App object
const app = {
micBtn: document.getElementById("chatMic"),
questionEl: document.getElementById("chatQues"),
responseEl: document.getElementById("chatResp"),
loadingOverlay: document.getElementById("loadingOverlay"),
micIcon: null,
isMicOn: false,
rec: null,
model: "gpt-5-mini",
};
// Bridge 'click event' to PLB host
function signalHost(element) {
if (!element) return;
element.dispatchEvent(new Event("click"));
}
function showLoadingOverlay() {
app.loadingOverlay.style.display = "flex";
document.body.style.overflow = "hidden";
}
function hideLoadingOverlay() {
app.loadingOverlay.style.display = "none";
document.body.style.overflow = "";
}
function speechInit() {
const SR = window.SpeechRecognition || window.webkitSpeechRecognition;
if (!SR) {
app.micBtn.style.display = "none";
return;
}
app.isMicOn = false;
app.micIcon = app.micBtn.firstElementChild;
app.micBtn.style.display = "block";
app.rec = new SR();
app.rec.interimResults = false; // Only get final results
app.rec.addEventListener("start", startSpeechRecognition);
app.rec.addEventListener("end", endSpeechRecognition);
app.rec.addEventListener("result", resultOfSpeechRecognition);
app.rec.addEventListener("error", speechError);
app.micBtn.addEventListener("click", micBtnClick);
}
function micBtnClick() {
if (app.isMicOn) {
app.rec.stop();
} else {
app.questionEl.textContent = "<<empty>>";
app.rec.start();
}
}
function setMicState(btn, on) {
const icon = btn.querySelector("i");
btn.setAttribute("aria-pressed", String(on));
btn.classList.toggle("is-on", on);
if (icon) {
icon.classList.toggle("bi-mic", on);
icon.classList.toggle("bi-mic-mute", !on);
}
}
function startSpeechRecognition() {
app.isMicOn = true;
setMicState(app.micBtn, true);
}
function endSpeechRecognition() {
app.isMicOn = false;
setMicState(app.micBtn, false);
}
function resultOfSpeechRecognition(event) {
const current = event.resultIndex;
const transcript = event.results[current][0].transcript;
app.questionEl.textContent = transcript;
app.rec.stop();
signalHost(app.questionEl);
}
function speechError(e) {
console.warn("Speech error:", e.error);
app.questionEl.textContent = `Speech error: ${e.error}`;
app.rec.stop();
setMicState(app.micBtn, false);
}
// ---------- Load Prism Language Components ----------
function loadScript(src) {
return new Promise((res, rej) => {
const s = document.createElement("script");
s.src = src;
s.onload = () => res(src);
s.onerror = () => rej(new Error("Failed to load " + src));
document.head.appendChild(s);
});
}
async function initScripts() {
// Configure Prism BEFORE loading core
window.Prism = window.Prism || {};
Prism.manual = true;
Prism.disableWorkerMessageHandler = true;
const base = "https://cdn.jsdelivr.net/npm/prismjs@1.30.0/components/";
// core first
await loadScript(base + "prism-core.min.js");
// prerequisites
await loadScript(base + "prism-clike.min.js");
await loadScript(base + "prism-markup.min.js");
await loadScript(base + "prism-markup-templating.min.js");
// now dependents can load in parallel
await Promise.all([
loadScript(base + "prism-javascript.min.js"),
loadScript(base + "prism-java.min.js"),
loadScript(base + "prism-php.min.js"),
loadScript(base + "prism-python.min.js"),
loadScript(base + "prism-css.min.js"),
]);
}
// ---------- Configure Marked.js ----------
let markedConfigured = false;
function configureMarked() {
if (markedConfigured) return;
try {
marked.setOptions({
gfm: true,
breaks: true,
headerIds: false,
mangle: false,
pedantic: false,
langPrefix: "",
});
markedConfigured = true;
console.debug("Marked configured!");
} catch (e) {
console.error("Marked configuration error:", e);
}
}
// ---------- Markdown To Html ----------
function markdownToHtml(md) {
if (!md || /^\s*$/.test(md)) return "";
if (!markedConfigured) configureMarked();
md = String(md).replace(/\r\n?/g, "\n");
if (typeof marked === "undefined") return md;
// Parse the corrected Markdown string.
try {
const html = marked.parse(md);
// Create detached container
const container = document.createElement("div");
container.innerHTML = html;
// CLEAN UP: Remove ALL language classes from inline code BEFORE returning
container.querySelectorAll("code").forEach((code) => {
// Only process inline code (not inside <pre>)
if (!code.parentElement || code.parentElement.tagName !== "PRE") {
code.className = code.className
.split(/\s+/)
.filter((c) => !/^language-/.test(c))
.join(" ")
.trim();
}
});
return container.innerHTML;
} catch (error) {
console.error("Error processing markdown:", error);
return md;
}
}
// Chat access code with loading overlay
async function askGpt(userQuest, apikey) {
console.debug(
"askGpt called with question:",
userQuest.substring(0, 50) + "..."
);
showLoadingOverlay();
try {
const response = await fetch(
"https://api.openai.com/v1/responses",
{
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: "Bearer " + apikey,
},
body: JSON.stringify({
model: app.model,
instructions: "You are a helpful assistant.",
input: userQuest,
}),
}
);
if (!response.ok) {
throw new Error("GPT access error: " + response.status);
}
const data = await response.json();
if (!data.output?.[1]?.content?.[0]?.text) {
throw new Error("GPT response error: No content");
}
const chatGPTResp = data.output[1].content[0].text.trim();
console.debug("Raw response received, length:", chatGPTResp.length);
// FIRST: Set the plain text content immediately
app.responseEl.textContent = chatGPTResp;
console.debug(
"Plain text set, length:",
app.responseEl.textContent.length
);
// SECOND: Process markdown and set HTML
const processedResponse = markdownToHtml(chatGPTResp);
app.responseEl.innerHTML = processedResponse;
console.debug(
"HTML set, innerHTML length:",
app.responseEl.innerHTML.length
);
// THIRD: Set a custom attribute with the processed content
app.responseEl.setAttribute("data-processed", processedResponse);
app.responseEl.setAttribute("data-ready", "true");
// FOURTH: Apply syntax highlighting
setTimeout(() => {
if (typeof Prism !== "undefined") {
Prism.highlightAll();
console.debug("Syntax highlighting applied");
}
}, 150);
// Hide loading overlay before triggering the event
hideLoadingOverlay();
// FINALLY: Trigger the event
signalHost(app.responseEl);
} catch (error) {
console.error("Error in askGpt:", error);
hideLoadingOverlay();
app.responseEl.textContent = "Error: " + error.message;
app.responseEl.setAttribute("data-ready", "true");
signalHost(app.responseEl);
}
}
// Initialize on load
async function boot() {
try {
await initScripts();
configureMarked();
speechInit();
console.log("App initialized successfully!");
} catch (e) {
console.error("Initialization error:", e);
}
}
if (document.readyState === "complete") boot();
</script>
</body>
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