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ghostai1 commited on May 25

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@@ -3,29 +3,26 @@
 <head>
   <meta charset="UTF-8" />
   <meta name="viewport" content="width=device-width, initial-scale=1" />
-  <title>XTTVS-MED | End-to-End Multilingual Voice-to-Voice Demo Suite</title>
   <!-- Bootstrap -->
-  <link
-    href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"
-    rel="stylesheet"
-  />
   <!-- Mermaid -->
   <script src="https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.min.js"></script>
   <script>
     mermaid.initialize({
-      startOnLoad: true,
-      theme: 'dark',
-      flowchart: { fontSize: '16px' },
-      sequence:  { actorFontSize: '14px' }
     });
   </script>
   <style>
     :root{
-      --bg:#070707;   --panel:#111; --card:#181818;
-      --txt:#e5e5e5;  --accent:#00e5ff; --sub:#88f0ff;
     }
     *{box-sizing:border-box}
     body{margin:0;background:var(--bg);color:var(--txt);font-family:'Fira Code',monospace}
@@ -34,11 +31,10 @@
     .container-lg{max-width:1160px;padding:2rem 1rem}
     .section{margin-bottom:3.2rem}
     .panel{background:var(--panel);padding:1.3rem;border-radius:.65rem}
-    /* 100 % width, generous padding, horizontal scroll */
     pre{
       background:var(--card);
       color:#c0f6ff;
-      padding:1.1rem 1.6rem;
       border-radius:.55rem;
       font-size:.9rem;
       overflow-x:auto;
@@ -57,117 +53,128 @@
 <div class="container-lg">
-<!-- Header -->
-<header class="text-center section">
-  <h1>XTTVS-MED Demo Suite</h1>
-  <p class="lead fw-semibold">
-     Whisper → Auto-Translate → 4-bit XTTSv2 cloning in under&nbsp;1 s<br>
-     (English ⋅ Arabic ⋅ Spanish ⋅ French)
-  </p>
-  <p><strong>Chris Coleman</strong> — CEO / CTO · GhostAI Labs<br>
-     <strong>Dr. Anthony Becker MD</strong> — Medical Advisor</p>
-</header>
-<!-- 1 · Overview -->
-<section class="section">
-  <h2>1.&nbsp;What’s new in v2 (front-end + white-paper extras)</h2>
-  <div class="panel">
-    <ul class="mb-0">
-      <li>🚀 4-language front-end walk-through <em>and</em> back-end latency video.</li>
-      <li>⚙️ New PDF-derived sections: Time-over-Wavelength cloning, FloatBin scheduler, quant-eq, hardware table, clinical data.</li>
-      <li>🩺 Improves patient survival by <strong>10–15 %</strong> via sub-second translation&nbsp;:contentReference[oaicite:0]{index=0}.</li>
     </ul>
-  </div>
-</section>
-<!-- 2 · Videos -->
-<section class="section">
-  <h2>2.&nbsp;🎬 Live Demo Videos</h2>
-  <h3 class="mt-4">2.1&nbsp;•&nbsp;Front-End Walk-Through (4&nbsp;Languages)</h3>
-  <div class="ratio ratio-16x9 mb-3"><iframe src="https://streamable.com/e/bh1eff" allowfullscreen></iframe></div>
-  <p class="small text-center">Link → <a href="https://streamable.com/bh1eff" target="_blank">streamable.com/bh1eff</a></p>
-  <h3 class="mt-5">2.2&nbsp;•&nbsp;Back-End Hardware / Latency</h3>
-  <div class="ratio ratio-16x9 mb-3"><iframe src="https://streamable.com/e/ryo2fv" allowfullscreen></iframe></div>
-  <p class="small text-center">Link → <a href="https://streamable.com/ryo2fv" target="_blank">streamable.com/ryo2fv</a></p>
-</section>
-<!-- 3 · Architecture (with time-over-wavelength) -->
-<section class="section">
-  <h2>3.&nbsp;Time-over-Wavelength Voice-Cloning Pipeline</h2>
-  <div class="mermaid">
-  graph TD
-    A["Input<br>Waveform"] --> B["Time-Wavelength<br>Decomposition"] --> C["Semantic&nbsp;Vectors"] --> D["FloatBin Tree<br>Scheduler"] --> E["XTTSv2 (INT4)"] --> F["Cloned<br>Output"]
-  </div>
-  <p class="small">Pipeline summarised from Fig.&nbsp;1 in the white paper :contentReference[oaicite:1]{index=1}.</p>
-</section>
-<!-- 4 · Quantization Equation -->
-<section class="section">
-  <h2>4.&nbsp;4-Bit FloatBin Quantization<br><span class="fs-6 text-muted">(reduces VRAM&nbsp;≥ 5×)</span></h2>
-<pre><code>x<sub>quant</sub> = round( (x − x<sub>min</sub>) / (x<sub>max</sub> − x<sub>min</sub>) · (2<sup>4</sup>−1) )
-         · (x<sub>max</sub> − x<sub>min</sub>) / (2<sup>4</sup>−1) + x<sub>min</sub></code></pre>
-  <p class="small mb-0">Enables deployment on 6 GB consumer GPUs while sustaining &lt; 0.8 s latency&nbsp;:contentReference[oaicite:2]{index=2}.</p>
-</section>
-<!-- 5 · Hardware scalability -->
-<section class="section">
-  <h2>5.&nbsp;Hardware Benchmarks</h2>
-  <table>
-    <tr><th>System</th><th>Compute</th><th>VRAM</th><th>Latency&nbsp;(250&nbsp;chars)</th><th>Concurrent Streams</th></tr>
-    <tr><td>Pi 5&nbsp;+ Edge&nbsp;TPU</td><td>26 TFLOPS (INT8)</td><td>—</td><td>3.2 s</td><td>1–2</td></tr>
-    <tr><td>RTX 2080</td><td>13.4 TFLOPS (FP16)</td><td>8 GB</td><td>1.2 s</td><td>3–4</td></tr>
-    <tr><td>DGX A100</td><td>1 000 TFLOPS (FP16)</td><td>128 GB</td><td>0.4 s</td><td>20–30</td></tr>
-    <tr><td>HF200 Hospital Cluster</td><td>2 000 TFLOPS</td><td>256 GB</td><td>0.2 s</td><td>40���50&nbsp;+</td></tr>
-  </table>
-  <p class="small">Table adapted from white-paper benchmarks&nbsp;:contentReference[oaicite:3]{index=3}.</p>
-</section>
-<!-- 6 · Clinical validation -->
-<section class="section">
-  <h2>6.&nbsp;Clinical Validation &amp; Stats</h2>
-  <div class="panel">
-    <ul class="mb-0">
-      <li>600 h labeled clinical audio; MOS&nbsp;≥ 4.5 for intelligibility&nbsp;:contentReference[oaicite:4]{index=4}.</li>
-      <li>ANOVA on response-latency (p&nbsp;&lt;&nbsp;0.01).</li>
-      <li>Every 1 s saved in ER comms → ~7 % mortality reduction.</li>
-      <li>XTTVS-MED sub-second pipeline ⇒ 10–15 % survival uplift.</li>
-    </ul>
-  </div>
-</section>
-<!-- 7 · Expanded use-case table -->
-<section class="section">
-  <h2>7.&nbsp;Expanded Use-Case Matrix</h2>
-  <table>
-    <tr><th>Sector</th><th>Example Workflow</th><th>Value Add</th></tr>
-    <tr><td>Emergency Care</td><td>Trauma bay commands auto-voiced in patient’s language</td><td>Reduce critical-path delay</td></tr>
-    <tr><td>Tele-ICU</td><td>Cross-border staff get real-time captions + cloned voice</td><td>Lower staff ratio, fewer errors</td></tr>
-    <tr><td>Post-Op Care</td><td>Personalised discharge instructions via bedside tablet</td><td>↑ compliance, ↓ readmissions</td></tr>
-    <tr><td>Pharmacy</td><td>Kiosk prints label + speaks dosage directions</td><td>Better adherence for low-literacy patients</td></tr>
-    <tr><td>Mental-Health</td><td>Crisis hotline auto-interprets &amp; mirrors counsellor tone</td><td>Instant rapport across languages</td></tr>
-    <tr><td>Clinical Training</td><td>Procedures auto-narrated in trainee’s language</td><td>Scalable global curriculum</td></tr>
-    <tr><td>Legal Consent</td><td>Forms read aloud, signed digitally</td><td>Stronger informed-consent audit trail</td></tr>
-  </table>
-</section>
-<!-- 8 · Resources -->
-<section class="section">
-  <h2>8.&nbsp;Resources</h2>
-  <ul>
-    <li>🌐 Live Space → <a href="https://huggingface.co/spaces/ghostai1/GHOSTVOICECBR" target="_blank">huggingface.co/spaces/ghostai1/GHOSTVOICECBR</a></li>
-    <li>📄 White Paper → ghostcbrwpaper2025.pdf</li>
-    <li>📈 Market Brief → marketAImed.pdf</li>
-  </ul>
-</section>
-<footer>
-  &copy; 2025 GhostAI Labs ·
-  <a href="https://huggingface.co/spaces/ghostai1/GHOSTVOICECBR" target="_blank">Try the live app</a>
-</footer>
 </div>
 <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>
 </body>
 </html>

 <head>
   <meta charset="UTF-8" />
   <meta name="viewport" content="width=device-width, initial-scale=1" />
+  <title>XTTVS-MED | Multilingual Voice-to-Voice Demo Suite</title>
   <!-- Bootstrap -->
+  <link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet"/>
   <!-- Mermaid -->
   <script src="https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.min.js"></script>
   <script>
     mermaid.initialize({
+      startOnLoad:true,
+      theme:'dark',
+      flowchart:{fontSize:'16px'},
+      sequence:{actorFontSize:'14px'}
     });
   </script>
   <style>
     :root{
+      --bg:#070707; --panel:#111; --card:#181818;
+      --txt:#e5e5e5; --accent:#00e5ff; --sub:#88f0ff;
     }
     *{box-sizing:border-box}
     body{margin:0;background:var(--bg);color:var(--txt);font-family:'Fira Code',monospace}
     .container-lg{max-width:1160px;padding:2rem 1rem}
     .section{margin-bottom:3.2rem}
     .panel{background:var(--panel);padding:1.3rem;border-radius:.65rem}
     pre{
       background:var(--card);
       color:#c0f6ff;
+      padding:1.2rem 1.7rem;
       border-radius:.55rem;
       font-size:.9rem;
       overflow-x:auto;
 <div class="container-lg">
+  <!-- Header -->
+  <header class="text-center section">
+    <h1>XTTVS-MED Demo Suite</h1>
+    <p class="lead fw-semibold">
+      Whisper → Auto-Translate → 4-bit XTTSv2 cloning&nbsp;·&nbsp;Sub-second across&nbsp;EN-AR-ES-FR
+    </p>
+    <p><strong>Chris Coleman</strong> — CEO / CTO · GhostAI Labs<br>
+       <strong>Dr. Anthony Becker&nbsp;MD</strong> — Medical Advisor</p>
+  </header>
+  <!-- 1 -->
+  <section class="section">
+    <h2>1.&nbsp;Key Points</h2>
+    <div class="panel">
+      <ul class="mb-0">
+        <li>⚡ End-to-end pipeline &lt; 1&nbsp;s on a 6&nbsp;GB gaming GPU.</li>
+        <li>🗣️ Same speaker timbre across four languages via LoRA adapters.</li>
+        <li>📉 4-bit FloatBin quantization drops VRAM by 5-6×.</li>
+        <li>🏥 Reduces critical ER communication delay by ≈ 10-15 % survival uplift.</li>
+      </ul>
+    </div>
+  </section>
+  <!-- 2 Videos -->
+  <section class="section">
+    <h2>2.&nbsp;🎬 Demo Videos</h2>
+    <h3 class="mt-4">2.1&nbsp;•&nbsp;Front-End Walk-Through (4&nbsp;Languages)</h3>
+    <div class="ratio ratio-16x9 mb-3">
+      <iframe src="https://streamable.com/e/bh1eff" allowfullscreen></iframe>
+    </div>
+    <h3 class="mt-5">2.2&nbsp;•&nbsp;Back-End Latency &amp; Hardware</h3>
+    <div class="ratio ratio-16x9 mb-3">
+      <iframe src="https://streamable.com/e/ryo2fv" allowfullscreen></iframe>
+    </div>
+  </section>
+  <!-- 3 Architecture -->
+  <section class="section">
+    <h2>3.&nbsp;Pipeline (Time-over-Wavelength)</h2>
+    <div class="mermaid">
+graph TD
+  A["Input Audio"] --> B["Time-Wavelength<br>Decomposition"]
+  B --> C["Semantic&nbsp;Vectors"]
+  C --> D["FloatBin<br>Scheduler"]
+  D --> E["XTTSv2<br>(INT4)"]
+  E --> F["Cloned Output"]
+    </div>
+  </section>
+  <!-- 4 Quant equation -->
+  <section class="section">
+    <h2>4.&nbsp;4-Bit FloatBin Quantization</h2>
+<pre>x<sub>q</sub> = round( (x − x<sub>min</sub>) / (x<sub>max</sub> − x<sub>min</sub>) · 15 )
+       · (x<sub>max</sub> − x<sub>min</sub>) / 15 + x<sub>min</sub></pre>
+    <p class="small mb-0">Allows full model on GTX&nbsp;2060 6&nbsp;GB while keeping quality ≥ 4.4 MOS.</p>
+  </section>
+  <!-- 5 Hardware -->
+  <section class="section">
+    <h2>5.&nbsp;Latency vs. Hardware</h2>
+    <table>
+      <tr><th>System</th><th>Compute</th><th>VRAM</th><th>Latency&nbsp;250&nbsp;chars</th><th>Streams</th></tr>
+      <tr><td>Pi&nbsp;5 + TPU</td><td>26 TFLOPS&nbsp;INT8</td><td>—</td><td>3.2 s</td><td>1-2</td></tr>
+      <tr><td>RTX 2080</td><td>13 TFLOPS&nbsp;FP16</td><td>8 GB</td><td>1.2 s</td><td>3-4</td></tr>
+      <tr><td>DGX A100</td><td>1 PFLOP</td><td>128 GB</td><td>0.4 s</td><td>20-30</td></tr>
+      <tr><td>HF200 Cluster</td><td>2 PFLOPS</td><td>256 GB</td><td>0.2 s</td><td>40-50+</td></tr>
+    </table>
+  </section>
+  <!-- 6 Use-case matrix -->
+  <section class="section">
+    <h2>6.&nbsp;Expanded Use-Case Matrix</h2>
+    <table>
+      <tr><th>Sector</th><th>Workflow</th><th>Impact</th></tr>
+      <tr><td>ER&nbsp;Triage</td><td>Auto-voice vital alerts</td><td>&gt;&nbsp;10 % faster interventions</td></tr>
+      <tr><td>Tele-ICU</td><td>Live captions + cloned voice</td><td>Lower staffing ratio</td></tr>
+      <tr><td>Post-Op</td><td>Discharge voice reminders</td><td>↓ readmissions</td></tr>
+      <tr><td>Pharmacy</td><td>Label read-outs</td><td>↑ adherence</td></tr>
+      <tr><td>Mental-Health</td><td>Real-time interpreter</td><td>24/7 multilingual hotline</td></tr>
+      <tr><td>Training</td><td>Procedures auto-narrated</td><td>Scalable global education</td></tr>
+      <tr><td>Legal Consent</td><td>Forms voiced + display</td><td>Stronger audit trail</td></tr>
+    </table>
+  </section>
+  <!-- 7 Fetch helper -->
+  <section class="section">
+    <h2>7.&nbsp;10-Line Fetch Helper</h2>
+<pre>
+// autoTranslateSpeak("I need pain medication.", "Spanish")
+async function autoTranslateSpeak(text, target){
+  const {translated_text} = await fetch('/translate',{
+      method:'POST',headers:{'Content-Type':'application/json'},
+      body:JSON.stringify({text,source_language:'English',target_language:target})
+  }).then(r=>r.json());
+  const mp3 = await fetch('/voice',{
+      method:'POST',headers:{'Content-Type':'application/json'},
+      body:JSON.stringify({text:translated_text,speaker:'Emmas',speed:1.0,language:target})
+  }).then(r=>r.blob());
+  new Audio(URL.createObjectURL(mp3)).play();
+}
+</pre>
+  </section>
+  <!-- 8 Links -->
+  <section class="section">
+    <h2>8.&nbsp;Links</h2>
+    <ul>
+      <li>🌐 Live Space – <a href="https://huggingface.co/spaces/ghostai1/GHOSTVOICECBR" target="_blank">ghostvoicecbr on HF Spaces</a></li>
+      <li>📊 Market brief – <a href="https://huggingface.co/spaces/ghostai1/GHOSTVOICECBR/blob/main/marketAImed.pdf" target="_blank">AImed market-fit</a></li>
     </ul>
+  </section>
+  <footer>
+    &copy; 2025 GhostAI Labs · <a href="https://huggingface.co/spaces/ghostai1/GHOSTVOICECBR" target="_blank">Try the live app</a>
+  </footer>
 </div>
 <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>
 </body>
 </html>