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Update app.py
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app.py
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import gradio as gr
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import os
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# --- 1. DATA ---
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projects = [
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{"name": "Idealyze", "desc": "AI-powered content optimization", "live": "https://huggingface.co/spaces/sreelekhaputta2/Idealyze", "video": "Idealyze.mp4"},
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{"name": "DivineLoop", "desc": "
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{"name": "GenDoc_AI", "desc": "Intelligent PDF generation", "live": "https://huggingface.co/spaces/sreelekhaputta2/GenDoc_AI", "video": "GendocAI.mp4"},
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{"name": "LinkShield", "desc": "URL security detection", "live": "https://huggingface.co/spaces/sreelekhaputta2/LinkShield", "video": "Linkshield.mp4"},
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{"name": "Chatbot", "desc": "Multi-modal AI with memory", "live": "https://huggingface.co/spaces/sreelekhaputta2/Chatbot", "video": "Wiseverse.mp4"},
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{"name": "AvatarVerse", "desc": "Photorealistic AI
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]
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# --- 2. THE NUCLEAR CSS OPTION ---
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# This forces EVERYTHING in Gradio to be transparent
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css = """
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}
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#
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position: fixed;
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top: 0;
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left: 0;
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width: 100vw;
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height: 100vh;
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z-index: -
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}
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}
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background: rgba(0, 0, 0, 0.65); /* Darken for readability */
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z-index: -90;
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}
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}
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"""
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# allowed_paths is KEY. It tells Gradio it's allowed to serve these files.
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demo.launch(allowed_paths=["."])
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!pip install gradio==5.4.1 -q
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import gradio as gr
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projects = [
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{"name": "Idealyze", "desc": "AI-powered content optimization platform", "skills": ["NLP", "Transformers", "FastAPI"], "live": "https://huggingface.co/spaces/sreelekhaputta2/Idealyze", "video": "Idealyze.mp4"},
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{"name": "DivineLoop", "desc": "Real-time audio-visual looping generator", "skills": ["Audio Processing", "Computer Vision", "WebRTC"], "live": "https://huggingface.co/spaces/sreelekhaputta2/DivineLoop", "video": "Divineloop.mp4"},
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{"name": "GenDoc_AI", "desc": "Intelligent PDF document generation", "skills": ["LLMs", "PDF Generation", "LangChain"], "live": "https://huggingface.co/spaces/sreelekhaputta2/GenDoc_AI", "video": "GendocAI.mp4"},
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{"name": "LinkShield", "desc": "Advanced URL security threat detection", "skills": ["Cybersecurity", "API Integration", "FastAPI"], "live": "https://huggingface.co/spaces/sreelekhaputta2/LinkShield", "video": "Linkshield.mp4"},
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{"name": "Chatbot", "desc": "Multi-modal conversational AI with memory", "skills": ["LLMs", "RAG", "Vector DB"], "live": "https://huggingface.co/spaces/sreelekhaputta2/Chatbot", "video": "Wiseverse.mp4"},
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{"name": "AvatarVerse", "desc": "Photorealistic AI avatar generator", "skills": ["Stable Diffusion", "ControlNet", "GANs"], "live": "https://huggingface.co/spaces/sreelekhaputta2/AvatarVerse", "video": "Avatarverse.mp4"}
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]
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css = """
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800&display=swap');
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* { font-family: 'Inter', sans-serif !important; }
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body {
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margin: 0 !important; padding: 0 !important; overflow-x: hidden !important;
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background: #0a0a1a !important;
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}
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#particles-canvas {
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position: fixed !important;
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top: 0 !important;
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left: 0 !important;
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width: 100vw !important;
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height: 100vh !important;
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z-index: -1 !important;
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pointer-events: none !important;
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}
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.pexels-overlay {
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position: fixed !important;
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top: 0 !important;
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left: 0 !important;
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width: 100vw !important;
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height: 100vh !important;
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background: linear-gradient(rgba(10,10,26,0.7), rgba(45,27,105,0.6)) !important;
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z-index: 0 !important;
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}
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.glass-card {
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background: rgba(255, 255, 255, 0.15) !important;
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backdrop-filter: blur(25px) !important;
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border: 1px solid rgba(255, 255, 255, 0.2) !important;
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border-radius: 24px !important;
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box-shadow: 0 25px 50px rgba(0, 0, 0, 0.4) !important;
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}
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.center-content {
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display: flex !important; flex-direction: column !important;
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align-items: center !important; text-align: center !important;
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justify-content: center !important;
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}
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.demo-btn {
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background: linear-gradient(135deg, #ff6b6b, #feca57) !important;
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border: none !important; border-radius: 16px !important;
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color: white !important; font-weight: 600 !important;
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padding: 1.2rem 2.5rem !important; font-size: 1.1rem !important;
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width: 100% !important; max-width: 350px !important;
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margin: 1rem auto !important; transition: all 0.3s ease !important;
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text-decoration: none !important; display: inline-block !important;
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}
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.demo-btn:hover {
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transform: scale(1.05) !important;
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box-shadow: 0 20px 40px rgba(255, 107, 107, 0.4) !important;
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}
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.video-medium {
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height: 350px !important; max-width: 100% !important; width: 650px !important;
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border-radius: 16px !important; box-shadow: 0 20px 40px rgba(0, 0, 0, 0.3) !important;
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}
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.header-gradient {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
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border-radius: 24px !important; padding: 3rem !important;
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text-align: center !important; box-shadow: 0 25px 50px rgba(102, 126, 234, 0.4) !important;
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margin: 2rem auto !important; max-width: 800px !important;
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}
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"""
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with gr.Blocks(css=css, theme=gr.themes.Soft()) as demo:
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# ✅ PEXELS-STYLE PARTICLE VIDEO BACKGROUND
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gr.HTML('''
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<canvas id="particles-canvas"></canvas>
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<div class="pexels-overlay"></div>
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<script>
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const canvas = document.getElementById('particles-canvas');
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const ctx = canvas.getContext('2d');
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canvas.width = window.innerWidth;
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canvas.height = window.innerHeight;
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window.addEventListener('resize', () => {
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canvas.width = window.innerWidth;
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canvas.height = window.innerHeight;
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});
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const particles = [];
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const particleCount = 120;
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class Particle {
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constructor() {
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this.x = Math.random() * canvas.width;
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this.y = Math.random() * canvas.height;
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this.size = Math.random() * 3 + 1;
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this.speedX = Math.random() * 0.5 - 0.25;
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this.speedY = Math.random() * 0.5 - 0.25;
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this.hue = Math.random() * 60 + 200; // Cyan-blue spectrum
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}
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update() {
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this.x += this.speedX;
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this.y += this.speedY;
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if (this.x > canvas.width || this.x < 0) this.speedX *= -1;
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if (this.y > canvas.height || this.y < 0) this.speedY *= -1;
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}
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draw() {
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ctx.save();
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ctx.globalAlpha = 0.7;
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ctx.fillStyle = `hsl(${this.hue}, 70%, 60%)`;
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ctx.shadowBlur = 10;
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ctx.shadowColor = `hsl(${this.hue}, 70%, 50%)`;
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ctx.beginPath();
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ctx.arc(this.x, this.y, this.size, 0, Math.PI * 2);
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ctx.fill();
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ctx.restore();
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}
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}
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for (let i = 0; i < particleCount; i++) {
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particles.push(new Particle());
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}
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function animate() {
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ctx.fillStyle = 'rgba(10, 10, 26, 0.1)';
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ctx.fillRect(0, 0, canvas.width, canvas.height);
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particles.forEach(p => {
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p.update();
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p.draw();
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});
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requestAnimationFrame(animate);
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}
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animate();
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</script>
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''')
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gr.Markdown(
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"# ✨ **AI/ML Projects**\n\n**6 Production-Ready Projects • Live on Hugging Face**",
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elem_classes="header-gradient glass-card center-content"
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)
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with gr.Tabs():
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for proj in projects:
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with gr.TabItem(proj["name"]):
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with gr.Column(elem_classes="glass-card center-content"):
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gr.Markdown(f"# 🚀 **{proj['name']}**")
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gr.Markdown(f"**📝 {proj['desc']}**")
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gr.Markdown(f"**🛠️ Tech Stack:** {' • '.join(proj['skills'])}")
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gr.HTML(f'''
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<a href="{proj["live"]}" target="_blank" class="demo-btn">
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🎮 Launch {proj['name']} Live Demo
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</a>
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''')
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gr.Video(
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value=proj["video"],
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label="📹 Project Demo",
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height=350,
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interactive=False,
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elem_classes="video-medium"
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)
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demo.launch(share=True, debug=True, height=950, show_error=True)
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