Update app.py

app.py

@@ -169,6 +169,7 @@ def display_glossary_entity(k):
     st.markdown(f"{k} {links_md}", unsafe_allow_html=True)
 
 roleplaying_glossary = {
+    
 "🤖 AI Concepts": {
 "MoE (Mixture of Experts) 🧠": [
 "What are Multi Agent Systems for Health",
@@ -199,85 +200,7 @@ roleplaying_glossary = {
 "Research in knowledge representation and retrieval"
 ]
 },
-"🛠️ AI Tools & Platforms": {
-"AutoGen 🔧": [
-"Automated machine learning (AutoML) tool",
-"Generates AI models based on requirements",
-"Simplifies AI development process",
-"Accessible to non-experts",
-"Integration with various data sources"
-],
-"ChatDev 💬": [
-"Platform for building chatbots and conversational AI",
-"Drag-and-drop interface for designing chat flows",
-"Pre-built templates and integrations",
-"Supports multiple messaging platforms",
-"Analytics and performance tracking"
-],
-"Omniverse 🌐": [
-"Nvidia's 3D simulation and collaboration platform",
-"Physically accurate virtual worlds",
-"Supports AI training and testing",
-"Used in industries like robotics, architecture, and gaming",
-"Enables seamless collaboration and data exchange"
-],
-"Lumiere 🎥": [
-"AI-powered video analytics platform",
-"Extracts insights and metadata from video content",
-"Facial recognition and object detection",
-"Sentiment analysis and scene understanding",
-"Applications in security, media, and marketing"
-],
-"SORA 🏗️": [
-"Scalable Open Research Architecture",
-"Framework for distributed AI research and development",
-"Modular and extensible design",
-"Facilitates collaboration and reproducibility",
-"Supports various AI algorithms and models"
-]
-},
-"🚀 World Ship Design": {
-"ShipHullGAN 🌊": [
-"Generic parametric modeller for ship hull design",
-"Uses deep convolutional generative adversarial networks (GANs)",
-"Trained on diverse ship hull designs",
-"Generates geometrically valid and feasible ship hull shapes",
-"Enables exploration of traditional and novel designs",
-"From the paper 'ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model'"
-],
-"B\'ezierGAN 📐": [
-"Automatic generation of smooth curves",
-"Maps low-dimensional parameters to B\'ezier curve points",
-"Generates diverse and realistic curves",
-"Preserves shape variation in latent space",
-"Useful for design optimization and exploration",
-"From the paper 'B\'ezierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters'"
-],
-"PlotMap 🗺️": [
-"Automated game world layout design",
-"Uses reinforcement learning to place plot elements",
-"Considers spatial constraints from story",
-"Enables procedural content generation for games",
-"Handles multi-modal inputs (images, locations, text)",
-"From the paper 'PlotMap: Automated Layout Design for Building Game Worlds'"
-],
-"ShipGen ⚓": [
-"Diffusion model for parametric ship hull generation",
-"Considers multiple objectives and constraints",
-"Generates tabular parametric design vectors",
-"Uses classifier guidance to improve hull quality",
-"Reduces design time and generates high-performing hulls",
-"From the paper 'ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints'"
-],
-"Ship-D 📊": [
-"Large dataset of ship hulls for machine learning",
-"30,000 hulls with design and performance data",
-"Includes parameterization, mesh, point cloud, images",
-"Measures hydrodynamic drag under different conditions",
-"Enables data-driven ship design optimization",
-"From the paper 'Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning'"
-]
-},
+    
 "🌌 Exploring the Universe":{
 "Cosmos 🪐": [
 "Object-centric world modeling framework",