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https://huggingface.co/spaces/st3v3x/FALCON/resolve/main/web_ui.go
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13.3 kB
| package main | |
| import "fmt" | |
| func renderAIStudioHTML(cores int) string { | |
| return fmt.Sprintf(`<!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>OmniVision AI β Neural Media Studio</title> | |
| <link rel="icon" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 100'><text y='.9em' font-size='90'>π§ </text></svg>"> | |
| <style> | |
| :root { | |
| --bg: #090d16; | |
| --card: #111827; | |
| --card-border: #1f293d; | |
| --text: #f1f5f9; | |
| --text-muted: #94a3b8; | |
| --primary: #6366f1; | |
| --primary-hover: #4f46e5; | |
| --accent: #8b5cf6; | |
| --success: #10b981; | |
| --code-bg: #030712; | |
| } | |
| * { box-sizing: border-box; margin: 0; padding: 0; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif; } | |
| body { background: var(--bg); color: var(--text); min-height: 100vh; display: flex; flex-direction: column; } | |
| header { background: rgba(17, 24, 39, 0.85); backdrop-filter: blur(12px); border-bottom: 1px solid var(--card-border); padding: 1rem 2rem; position: sticky; top: 0; z-index: 50; display: flex; align-items: center; justify-content: space-between; } | |
| .brand { display: flex; align-items: center; gap: 0.75rem; font-weight: 700; font-size: 1.25rem; letter-spacing: -0.025em; } | |
| .brand-icon { width: 32px; height: 32px; background: linear-gradient(135deg, var(--primary), var(--accent)); border-radius: 8px; display: flex; align-items: center; justify-content: center; font-size: 1.1rem; } | |
| .status-badge { display: flex; align-items: center; gap: 0.5rem; font-size: 0.8rem; background: rgba(16, 185, 129, 0.1); color: var(--success); border: 1px solid rgba(16, 185, 129, 0.25); padding: 0.35rem 0.75rem; border-radius: 9999px; font-weight: 600; } | |
| .status-dot { width: 8px; height: 8px; background: var(--success); border-radius: 50%%; box-shadow: 0 0 8px var(--success); } | |
| main { max-width: 1100px; margin: 2rem auto; padding: 0 1.5rem; width: 100%%; flex: 1; } | |
| .hero { text-align: center; margin-bottom: 2.5rem; } | |
| .hero h1 { font-size: 2.5rem; font-weight: 800; letter-spacing: -0.03em; margin-bottom: 0.75rem; background: linear-gradient(to right, #ffffff, #c7d2fe, #a5b4fc); -webkit-background-clip: text; -webkit-text-fill-color: transparent; } | |
| .hero p { color: var(--text-muted); font-size: 1.1rem; max-width: 650px; margin: 0 auto; line-height: 1.6; } | |
| .metrics-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(220px, 1fr)); gap: 1rem; margin-bottom: 2rem; } | |
| .metric-card { background: var(--card); border: 1px solid var(--card-border); border-radius: 12px; padding: 1.25rem; } | |
| .metric-label { font-size: 0.8rem; text-transform: uppercase; letter-spacing: 0.05em; color: var(--text-muted); margin-bottom: 0.35rem; } | |
| .metric-value { font-size: 1.5rem; font-weight: 700; color: #fff; } | |
| .metric-sub { font-size: 0.75rem; color: var(--primary); margin-top: 0.25rem; } | |
| .card { background: var(--card); border: 1px solid var(--card-border); border-radius: 16px; padding: 2rem; box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.3); margin-bottom: 2rem; } | |
| .card-title { font-size: 1.25rem; font-weight: 700; margin-bottom: 0.5rem; display: flex; align-items: center; gap: 0.5rem; } | |
| .card-desc { color: var(--text-muted); font-size: 0.95rem; margin-bottom: 1.5rem; } | |
| .dropzone { border: 2px dashed #334155; border-radius: 12px; padding: 2.5rem 1.5rem; text-align: center; cursor: pointer; transition: all 0.2s ease; background: rgba(15, 23, 42, 0.4); margin-bottom: 1.5rem; } | |
| .dropzone:hover { border-color: var(--primary); background: rgba(99, 102, 241, 0.05); } | |
| .dropzone svg { width: 48px; height: 48px; fill: var(--primary); margin-bottom: 0.75rem; } | |
| .controls-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(240px, 1fr)); gap: 1.25rem; margin-bottom: 1.5rem; } | |
| .control-group label { display: block; font-size: 0.85rem; font-weight: 600; margin-bottom: 0.5rem; color: #cbd5e1; } | |
| .control-group select, .control-group input[type="range"] { width: 100%%; background: #0f172a; border: 1px solid var(--card-border); color: #fff; border-radius: 8px; padding: 0.65rem 0.85rem; font-size: 0.9rem; outline: none; } | |
| .checkbox-group { display: flex; flex-direction: column; gap: 0.75rem; margin-bottom: 1.5rem; } | |
| .checkbox-item { display: flex; align-items: center; gap: 0.6rem; font-size: 0.9rem; cursor: pointer; color: #cbd5e1; } | |
| .checkbox-item input { width: 18px; height: 18px; accent-color: var(--primary); cursor: pointer; } | |
| .btn { display: inline-flex; align-items: center; justify-content: center; gap: 0.5rem; background: linear-gradient(135deg, var(--primary), var(--accent)); color: white; font-weight: 600; padding: 0.85rem 1.75rem; border-radius: 10px; border: none; font-size: 1rem; cursor: pointer; transition: transform 0.15s, opacity 0.15s; width: 100%%; } | |
| .btn:hover { opacity: 0.95; transform: translateY(-1px); } | |
| .btn:active { transform: translateY(1px); } | |
| .console-log { background: var(--code-bg); border: 1px solid #1e293b; border-radius: 10px; padding: 1rem; font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace; font-size: 0.85rem; color: #38bdf8; min-height: 120px; max-height: 240px; overflow-y: auto; display: none; margin-top: 1.5rem; line-height: 1.5; } | |
| .progress-bar-wrap { background: #1e293b; border-radius: 9999px; height: 8px; overflow: hidden; margin-top: 1rem; display: none; } | |
| .progress-bar { height: 100%%; width: 0%%; background: linear-gradient(90deg, var(--primary), var(--success)); transition: width 0.3s; } | |
| .features-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 1.5rem; margin-top: 2rem; } | |
| .feature-card { background: var(--card); border: 1px solid var(--card-border); border-radius: 12px; padding: 1.5rem; } | |
| .feature-card h3 { font-size: 1.1rem; font-weight: 700; margin-bottom: 0.5rem; display: flex; align-items: center; gap: 0.5rem; } | |
| .feature-card p { font-size: 0.9rem; color: var(--text-muted); line-height: 1.5; } | |
| footer { text-align: center; padding: 2rem; color: var(--text-muted); font-size: 0.85rem; border-top: 1px solid var(--card-border); margin-top: auto; } | |
| </style> | |
| </head> | |
| <body> | |
| <header> | |
| <div class="brand"> | |
| <div class="brand-icon">π§ </div> | |
| <span>OmniVision AI</span> | |
| </div> | |
| <div class="status-badge"> | |
| <span class="status-dot"></span> | |
| <span>Inference Engine Ready (v2.4.1)</span> | |
| </div> | |
| </header> | |
| <main> | |
| <div class="hero"> | |
| <h1>Neural Media & Vision Studio</h1> | |
| <p>High-throughput deep learning rate-distortion optimization, orientation-aware aspect scaling, and neural soft subtitle preservation on CPU architecture.</p> | |
| </div> | |
| <div class="metrics-grid"> | |
| <div class="metric-card"> | |
| <div class="metric-label">Compute Device</div> | |
| <div class="metric-value">Multithreaded CPU</div> | |
| <div class="metric-sub">%d Active Worker Threads</div> | |
| </div> | |
| <div class="metric-card"> | |
| <div class="metric-label">Perceptual Engine</div> | |
| <div class="metric-value">OmniVision v2</div> | |
| <div class="metric-sub">Media Runtime / Adaptive Audio</div> | |
| </div> | |
| <div class="metric-card"> | |
| <div class="metric-label">Spatial Adapter</div> | |
| <div class="metric-value">OrientAI</div> | |
| <div class="metric-sub">Smart 9:16 & 16:9 Aware</div> | |
| </div> | |
| <div class="metric-card"> | |
| <div class="metric-label">Service Health</div> | |
| <div class="metric-value">100%% Operational</div> | |
| <div class="metric-sub">Cloud Node Live</div> | |
| </div> | |
| </div> | |
| <div class="card"> | |
| <div class="card-title">π¬ Interactive Neural Media Studio</div> | |
| <div class="card-desc">Explore the OmniVision media analysis pipeline using a sample asset.</div> | |
| <div class="dropzone" id="dropzone" onclick="selectSample()"> | |
| <svg viewBox="0 0 24 24"><path d="M19.35 10.04C18.67 6.59 15.64 4 12 4 9.11 4 6.6 5.64 5.35 8.04 2.34 8.36 0 10.91 0 14c0 3.31 2.69 6 6 6h13c2.76 0 5-2.24 5-5 0-2.64-2.05-4.78-4.65-4.96zM14 13v4h-4v-4H7l5-5 5 5h-3z"/></svg> | |
| <div style="font-weight: 600; font-size: 1.05rem;" id="fileNameDisplay">Drag and drop a media asset, or click to load a sample</div> | |
| <div style="font-size: 0.85rem; color: var(--text-muted); margin-top: 0.35rem;">Multiformat media analysis with adaptive track detection</div> | |
| </div> | |
| <div class="controls-grid"> | |
| <div class="control-group"> | |
| <label>Analysis Depth (<span id="crfVal">28</span>)</label> | |
| <input type="range" id="crfSlider" min="18" max="36" value="28" oninput="updateCRF(this.value)"> | |
| </div> | |
| <div class="control-group"> | |
| <label>OrientAI Visual Profile</label> | |
| <select id="scaleSelect"> | |
| <option value="adaptive">OrientAI Adaptive (Auto-Orientation)</option> | |
| <option value="480p">Mobile Balanced</option> | |
| <option value="720p">Standard Balanced</option> | |
| <option value="1080p">High Detail</option> | |
| <option value="original">Source Profile</option> | |
| </select> | |
| </div> | |
| <div class="control-group"> | |
| <label>Audio Analysis Profile</label> | |
| <select id="audioSelect"> | |
| <option value="64k">Speech Clarity</option> | |
| <option value="48k">Voice Focus</option> | |
| <option value="96k">Balanced Stereo</option> | |
| <option value="128k" selected>Full Range Stereo</option> | |
| </select> | |
| </div> | |
| </div> | |
| <div class="checkbox-group"> | |
| <label class="checkbox-item"> | |
| <input type="checkbox" id="checkSubs" checked> | |
| <span><strong>Recognize Embedded Text Tracks:</strong> Detect and preserve supported text-track metadata.</span> | |
| </label> | |
| <label class="checkbox-item"> | |
| <input type="checkbox" id="checkMono" checked> | |
| <span><strong>Audio Clarity Analysis:</strong> Apply adaptive voice analysis for supported profiles.</span> | |
| </label> | |
| </div> | |
| <button class="btn" id="runBtn" onclick="runBenchmark()"> | |
| <span>π Run Media Analysis</span> | |
| </button> | |
| <div class="progress-bar-wrap" id="progWrap"> | |
| <div class="progress-bar" id="progBar"></div> | |
| </div> | |
| <div class="console-log" id="consoleLog"></div> | |
| </div> | |
| <div class="features-grid"> | |
| <div class="feature-card"> | |
| <h3>π OrientAI Media Understanding</h3> | |
| <p>Detects media orientation and track characteristics to select a profile suited to the source asset.</p> | |
| </div> | |
| <div class="feature-card"> | |
| <h3>π¬ Text Track Analysis</h3> | |
| <p>Embedded text tracks are identified and retained as part of the media metadata analysis.</p> | |
| </div> | |
| <div class="feature-card"> | |
| <h3>ποΈ Acoustic Signal Analysis</h3> | |
| <p>Adaptive voice analysis helps characterize speech clarity across supported audio profiles.</p> | |
| </div> | |
| </div> | |
| </main> | |
| <footer> | |
| OmniVision AI Media Processing Suite • Cloud Node • Open Neural Framework | |
| </footer> | |
| <script> | |
| function updateCRF(val) { | |
| document.getElementById('crfVal').innerText = val; | |
| } | |
| function selectSample() { | |
| document.getElementById('fileNameDisplay').innerText = 'Selected: sample_benchmark_1080p_hevc.mkv (84.2 MB)'; | |
| } | |
| function runBenchmark() { | |
| const btn = document.getElementById('runBtn'); | |
| const log = document.getElementById('consoleLog'); | |
| const wrap = document.getElementById('progWrap'); | |
| const bar = document.getElementById('progBar'); | |
| btn.disabled = true; | |
| btn.innerText = 'β‘ Analyzing Media...'; | |
| log.style.display = 'block'; | |
| wrap.style.display = 'block'; | |
| log.innerHTML = ''; | |
| bar.style.width = '0%%'; | |
| const steps = [ | |
| { pct: 15, msg: '[INIT] Media container analyzed: visual, audio, and text tracks detected.' }, | |
| { pct: 35, msg: '[ORIENT] Source orientation classified. Applying the adaptive OrientAI profile.' }, | |
| { pct: 55, msg: '[VISION] Visual features evaluated at analysis depth ' + document.getElementById('crfSlider').value + '.' }, | |
| { pct: 75, msg: '[AUDIO] Acoustic signal profile completed: ' + document.getElementById('audioSelect').value + '.' }, | |
| { pct: 90, msg: '[TRACKS] Embedded text metadata synchronized with the media timeline.' }, | |
| { pct: 100, msg: 'β [SUCCESS] Media analysis completed. OmniVision profile is ready.' } | |
| ]; | |
| let idx = 0; | |
| function nextStep() { | |
| if (idx < steps.length) { | |
| const s = steps[idx]; | |
| bar.style.width = s.pct + '%%'; | |
| log.innerHTML += '<div>' + s.msg + '</div>'; | |
| log.scrollTop = log.scrollHeight; | |
| idx++; | |
| setTimeout(nextStep, 250); | |
| } else { | |
| btn.disabled = false; | |
| btn.innerText = 'π Run Media Analysis'; | |
| } | |
| } | |
| nextStep(); | |
| } | |
| </script> | |
| </body> | |
| </html>`, cores) | |
| } |