add highlight.js CSS auto-loading to embed modal and code highlighting demos to styleguide

public/src/uncloseai-embed-modal.js

@@ -247,6 +247,15 @@ async function openUncloseaiEmbeddedModalNew() {
 			document.head.appendChild(link);
 		}
 
+		// Load highlight.js CSS for code block syntax highlighting
+		if (!document.querySelector('link[href*="highlight"]')) {
+			const hljsLink = document.createElement("link");
+			hljsLink.rel = "stylesheet";
+			hljsLink.href =
+				"https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.10.0/styles/a11y-dark.min.css";
+			document.head.appendChild(hljsLink);
+		}
+
 		// Ensure ChunkFive font is loaded and text colors are enforced
 		initializeChunkFiveFont();
 

public/uncloseai-js-styleguide.html

@@ -553,9 +553,27 @@
         <p>Heading scale factor: <code>1.125</code> (major second). h1 through h6 computed via <code>calc(1rem * var(--heading-scale)^n)</code>.</p>
 
         <h3 id="type-code">Code</h3>
-        <pre><code class="language-javascript">// Example: one-line installation
-&lt;script src="https://uncloseai.com/uncloseai.js" type="module"&gt;&lt;/script&gt;</code></pre>
-        <p>Code blocks use <code>highlight.js</code> with the <code>a11y-dark</code> theme. Inline code uses the default PicoCSS monospace styling.</p>
+        <p>Code blocks use <code>highlight.js</code> v11.10.0 with the <code>a11y-dark</code> theme. The modal auto-loads this stylesheet on any host page. Inline code uses PicoCSS monospace styling.</p>
+
+        <pre><code class="language-javascript">// JavaScript: one-line installation
+const script = document.createElement("script");
+script.src = "https://uncloseai.com/uncloseai.js";
+script.type = "module";
+document.head.appendChild(script);</code></pre>
+
+        <pre><code class="language-python"># Python: streaming chat with uncloseai
+class UncloseAI:
+    def __init__(self):
+        self.endpoints = []
+
+    def chat_stream(self, model, messages):
+        for chunk in self._sse_stream(model, messages):
+            yield chunk["choices"][0]["delta"]["content"]</code></pre>
+
+        <pre><code class="language-bash"># Bash: test the TTS endpoint
+curl -X POST https://speech.ai.unturf.com/v1/audio/speech \
+  -H "Content-Type: application/json" \
+  -d '{"model":"tts-1","voice":"alloy","input":"Hello world"}'</code></pre>
 
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