Update app.py

app.py

@@ -196,9 +196,9 @@ md_picture_mnemonic = r'''
 9. **🐱 Cat -** Nine lives, symbolic of #9.
 
 **Mnemonic:** A mnemonic is a memory aid using patterns or associations to enhance recall. Here, we apply the pegword technique by pairing each number with a vivid image to quickly remember complex information.  
-*(Adapted from McCarthy, M. J. (2007). Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster. [1])*  
+*(Adapted from McCarthy, M. J. 2007. Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster. [1])*  
 
-[1] McCarthy, M. J. (2007). *Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster*. Retrieved from https://www.example.com/reference
+[1] McCarthy, M. J. 2007. *Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster*. Retrieved from https://www.example.com/reference
 '''
 
 md_tweet = r'''
@@ -210,44 +210,44 @@ Unlock your AI mastery with our densified skill tree - from LC to SD - each node
 # Mermaid Diagrams
 # --------------------------
 # In these diagrams, the root nodes have been updated to two-letter abbreviations.
-# All parentheses have been removed and special characters are replaced as required.
+# All ( and ) characters have been removed from the data.
 
 mermaid_areas = {
-    "1. 👥 Leadership and Collaboration (LeCo)": r'''
+    "1. 👥 Leadership and Collaboration - LeCo": r'''
 graph TD
   LC[👥 Leadership and Collaboration - LeCo]
   LC --> LeCo1a[🚀 Strategic and Cross-Functional Leadership - Global strategy, team coordination and vendor management]
   LC --> LeCo1b[🤝 Team Building and Agile Collaboration - Coaching, agile processes and stakeholder management]
   LC --> LeCo1c[💡 Domain Expertise and Innovation - Deep AI knowledge and product strategy]
     ''',
-    "2. 🔒 Security and Compliance (SeCo)": r'''
+    "2. 🔒 Security and Compliance - SeCo": r'''
 graph TD
   SC[🔒 Security and Compliance - SeCo]
   SC --> SeCo1[🛡️ Security Operations and Incident Response - Incident management, pen testing and vulnerability assessment]
   SC --> SeCo2[✅ Compliance and Governance - Data quality, compliance policies and IAM]
   SC --> SeCo3[🔒 System Hardening and Automation - Secure HPC, ML, Python, Bash automation and cost optimization]
     ''',
-    "3. 📊 Data Engineering (DaEn)": r'''
+    "3. 📊 Data Engineering - DaEn": r'''
 graph TD
   DE[📊 Data Engineering - DaEn]
   DE --> DaEn1[💧 Data Processing and Ingestion - Multi, modal data, event handling and ETL]
   DE --> DaEn2[📊 Analytics, Forecasting and Visualization - BI, dashboards and forecasting]
   DE --> DaEn3[📝 Data Governance and Quality - Modeling, warehousing and stakeholder comms]
     ''',
-    "4. 📢 Community OpenSource (CoOS)": r'''
+    "4. 📢 Community OpenSource - CoOS": r'''
 graph TD
   CO[📢 Community OpenSource - CoOS]
   CO --> CoOS1[📚 Technical Documentation and Demos - Code examples, demos and notebooks]
   CO --> CoOS2[💬 Community Engagement and Collaboration - Public speaking, social media and collabs]
     ''',
-    "5. 📱 FullStack UI Mobile (FuMo)": r'''
+    "5. 📱 FullStack UI Mobile - FuMo": r'''
 graph TD
   FM[📱 FullStack UI Mobile - FuMo]
   FM --> FuMo1[📱 Mobile and Web App Development - Full, stack development, CI,CD and API design]
   FM --> FuMo2[🎨 UI, UX and Frontend Integration - React, Next.js, TypeScript and intuitive design]
   FM --> FuMo3[🔌 Backend and Cross-Platform Tools - Python, Node, cloud microservices and ML bridging]
     ''',
-    "6. 💻 Software Cloud MLOps (SCMI)": r'''
+    "6. 💻 Software Cloud MLOps - SCMI": r'''
 graph TD
   SM[💻 Software Cloud MLOps - SCMI]
   SM --> SCMI1[🛠️ Developer Tooling and Observability - Full, stack dev, debugging and SRE practices]
@@ -255,7 +255,7 @@ graph TD
   SM --> SCMI3[🔄 Data Pipelines and Processing - Spark, Airflow and ETL pipelines]
   SM --> SCMI4[☁️ Cloud and Infrastructure Provisioning - Kubernetes, Docker, Terraform and cloud integration]
     ''',
-    "7. 🤖 Machine Learning AI (MLAI)": r'''
+    "7. 🤖 Machine Learning AI - MLAI": r'''
 graph TD
   ML[🤖 Machine Learning AI - MLAI]
   ML --> MLAI1[🏛️ Large-Scale Architectures and Retrieval - Transformers, RAG and vector DBs]
@@ -263,7 +263,7 @@ graph TD
   ML --> MLAI3[📡 Application and API Development - Agentic AI, LLM inference and microservices]
   ML --> MLAI4[📈 Optimization and Monitoring - Performance tuning, scaling and reliability]
     ''',
-    "8. 🔧 Systems Infrastructure (SyIn)": r'''
+    "8. 🔧 Systems Infrastructure - SyIn": r'''
 graph TD
   SI[🔧 Systems Infrastructure - SyIn]
   SI --> SyIn1[🐧 Hardware and OS Integration - Linux, embedded, C, C++]
@@ -271,7 +271,7 @@ graph TD
   SI --> SyIn3[🤖 Advanced ML and Automation - Cross, team innovation, observability and ServiceNow]
   SI --> SyIn4[🚀 Distributed and HPC Deployment - Data, center HPC, ML, GPU orchestration and multi-GPU pipelines]
     ''',
-    "9. 🎯 Specialized Domains (SpDo)": r'''
+    "9. 🎯 Specialized Domains - SpDo": r'''
 graph TD
   SD[🎯 Specialized Domains - SpDo]
   SD --> SpDo1[🎥 Advanced CV and 3D Graphics - Neural rendering, reconstruction and graphics engines]