Create app.py

app.py

@@ -0,0 +1,889 @@
+import streamlit as st
+import os
+import glob
+import re
+import base64
+import pytz
+import time
+import streamlit.components.v1 as components
+
+from urllib.parse import quote
+from gradio_client import Client
+from datetime import datetime
+
+# 🌳🤖 AIKnowledgeTreeBuilder - Because every app needs a good costume!
+
+Site_Name = 'AI Knowledge Tree Builder 📈🌿 Grow Smarter with Every Click'
+title = "🌳✨AI Knowledge Tree Builder🛠️🤓"
+helpURL = 'https://huggingface.co/spaces/awacke1/AIKnowledgeTreeBuilder/'
+bugURL = 'https://huggingface.co/spaces/awacke1/AIKnowledgeTreeBuilder/'
+icons = '🌳✨🛠️🤓'
+
+SidebarOutline = """🌳🤖 Designed with the following tenets:
+1 📱 **Portability** - Universal access via any device & link sharing
+2. ⚡ **Speed of Build** - Rapid deployments < 2min to production
+3. 🔗 **Linkiness** - Programmatic access to AI knowledge sources
+4. 🎯 **Abstractive** - Core stays lean isolating high-maintenance components
+5. 🧠 **Memory** - Shareable flows deep-linked research paths
+6. 👤 **Personalized** - Rapidly adapts knowledge base to user needs
+7. 🐦 **Living Brevity** - Easily cloneable, self modify data public share results.
+"""
+
+st.set_page_config(
+    page_title=title,
+    page_icon=icons,
+    layout="wide",
+    initial_sidebar_state="auto",
+    menu_items={
+        'Get Help': helpURL,
+        'Report a bug': bugURL,
+        'About': title
+    }
+)
+
+st.sidebar.markdown(SidebarOutline)
+
+# Initialize session state variables
+if 'selected_file' not in st.session_state:
+    st.session_state.selected_file = None
+if 'view_mode' not in st.session_state:
+    st.session_state.view_mode = 'view'
+if 'files' not in st.session_state:
+    st.session_state.files = []
+
+BiologyAndLevel36MagicUsers = """
+0. Biology Core Rules and Future Exceptions
+1. Central Dogma DNA RNA Protein
+- Current CRISPR RNA editing 🧪
+- Research Gene therapy siRNA 🔬
+- Future Programmable genetics 🚀
+
+2. Cell Origin
+- Current iPSCs organoids 🦠
+- Research Synthetic cells 🔬
+- Future De novo cell creation 🚀
+
+3. Form Function
+- Current Bioprinting 🫀
+- Research 4D printing 🔬
+- Future Self assembling structures 🚀
+
+4. Homeostasis
+- Current Artificial pancreas 🤖
+- Research Nanorobots 🔬
+- Future Autonomous regulation 🚀
+
+5. Evolution
+- Current Directed evolution 🧫
+- Research Synthetic biology 🔬
+- Future Accelerated adaptation 🚀
+
+6. Energy Conservation
+- Current Biofuel cells ⚡
+- Research Quantum biology 🔬
+- Future Biological perpetual motion 🚀
+
+7. Cellular Life
+- Current Organoid systems 🔮
+- Research Hybrid cells 🔬
+- Future Silicon based life 🚀
+
+8. Inheritance Patterns
+- Current Gene drives 🧩
+- Research Epigenetic control 🔬
+- Future Designed inheritance 🚀
+
+9. Energy Requirements
+- Current Metabolic engineering 🔋
+- Research Synthetic photosynthesis 🔬
+- Future Zero energy life 🚀
+
+10. Random Mutation
+- Current Base editing 🎯
+- Research Mutation prediction 🔬
+- Future Controlled evolution 🚀
+
+11. Carbon Based Life
+- Current Alternative biochemistry 💎
+- Research Silicon biology 🔬
+- Future Non carbon life 🚀
+
+12. Size Limitations
+- Current Nanostructures 📏
+- Research Quantum biology 🔬
+- Future Scalable organisms 🚀
+
+13. Species Interdependence
+- Current Synthetic ecosystems 🌿
+- Research Artificial symbiosis 🔬
+- Future Independent life 🚀
+
+14. Stimulus Response
+- Current Brain computer interfaces 🧠
+- Research Neural engineering 🔬
+- Future Direct consciousness control 🚀
+
+15. Development Complexity
+- Current Accelerated growth 🌱
+- Research Development control 🔬
+- Future Instant maturation 🚀
+
+16. Population Growth
+- Current Population control 📊
+- Research Sustainable ecosystems 🔬
+- Future Perfect equilibrium 🚀
+
+17. Energy Flow
+- Current Enhanced photosynthesis 🌞
+- Research Energy optimization 🔬
+- Future Perpetual systems 🚀
+
+18. Environmental Adaptation
+- Current Climate resistance 🌍
+- Research Universal adaptation 🔬
+- Future Environment independence 🚀
+
+19. Genetic Inheritance
+- Current Gene editing 🧬
+- Research Trait programming 🔬
+- Future Perfect inheritance 🚀
+
+20. Reproduction
+- Current Artificial wombs 👶
+- Research Cloning advances 🔬
+- Future Asexual human reproduction 🚀
+
+21. Aging Death
+- Current Longevity therapy ⏰
+- Research Age reversal 🔬
+- Future Biological immortality 🚀
+"""
+
+AITopicsToInnovate1 = """
+1. Major AI Industry Players 🌐
+   1. Research Leaders 🎯
+      - OpenAI: GPT-4 DALL-E Foundation Models 🔵
+      - Google: PaLM Gemini LLMs 🟦
+      - Anthropic: Claude Constitutional AI ⚡
+      - Meta: LLaMA Open Source LLMs 👤
+      - xAI: Grok Conversational AI 🤖
+   
+2. Technical AI Development 🛠️
+   1. Architecture Advances 💫
+      - Transformer Models Attention Mechanisms 🧠
+      - Mixture of Experts MoE Architecture 🎪
+      - Sparse Neural Networks 🕸️
+      - Multi-modal LLM Systems 🌈
+      - Flash Attention Optimization ⚔️
+   
+   2. Training Methodologies 📚
+      - LLM Supervised Fine-tuning 👨‍🏫
+      - RLHF Reward Models 🤝
+      - Constitutional AI Training 📜
+      - RLAIF Feedback Models 🔄
+      - Synthetic Data LLM Training 🎲
+      - Chain of Thought Prompting 🧩
+      - Tree of Thoughts Reasoning 🌳
+   
+   3. Post-Training Implementation 🔧
+      - Neural Network Distillation 🧪
+      - LLM Quantization Methods 📊
+      - Neural Network Pruning ✂️
+      - Knowledge Distillation Transfer 📖
+      - Few-shot LLM Learning 🎯
+
+3. Mechanistic Interpretability 🔬
+   1. Core Concepts 💡
+      - Neural Network Growth Analysis 🌱
+      - LLM Architecture Analysis 🏗️
+      - Training Loss Optimization 🎨
+      - Neural Network Analogies 🧬
+   
+   2. Technical Features 📐
+      - LLM Linear Representations ➡️
+      - Neural Vector Arithmetic 🔢
+      - Neural Activation Patterns 🌊
+      - LLM Feature Detection 🔍
+      - Neural Sparse Autoencoders 🎭
+   
+   3. Network Analysis 🕵️
+      - LLM Induction Heads 👀
+      - Transformer Attention Analysis 🎪
+      - Neural Circuit Analysis 🔌
+      - LLM Feature Visualization 📈
+      - Neural Concept Directions 🎳
+
+4. Future AI Developments 🚀
+   1. AGI Timeline ⏰
+      - AGI Capability Projections 📅
+      - Neural Hardware Scaling 💾
+      - LLM Training Data Limits 📉
+      - AI Compute Resources 🗺️
+   
+   2. Integration Fields 🎡
+      - AI Biology Integration 🔮
+      - AI Drug Discovery Systems 💊
+      - AI Clinical Trial Analysis 🏥
+      - AI Code Generation 🤹
+      - AI Scientific Discovery 🧮
+
+5. Industry Best Practices 💎
+   1. AI Team Building 🏢
+      - AI Talent Development 👥
+      - AI Research Alignment 🎪
+      - AI Team Scaling 📊
+      - AI Research Culture 🌟
+   
+   2. AI Research Qualities 🎓
+      - AI Research Methodology 🧭
+      - AI Experimentation Protocols 🗝️
+      - AI Innovation Thinking 💫
+      - AI Testing Framework ⚖️
+   
+   3. AI Safety Standards 🛡️
+      - LLM Behavioral Specifications 📋
+      - AI Safety Guidelines 🎮
+      - AI Ethics Framework ⛑️
+      - AI Industry Standards 🤲
+"""
+
+Multiplayer_Custom_Hosting_Game_Servers_For_Simulated_Worlds = """
+
+
+0. Fantasy Domain Introduction
+1. Setting the Scene
+- Current Create a high-fantasy realm with unique ecosystems, magical phenomena, and cultural diversity 🏞️
+- Research Add domain-specific entities like mythical creatures, enchanted terrains, or ancient artifacts 🧝‍♂️
+- Future Fully AI-generated interactive worldbuilding 🚀
+
+2. Archetypal Overview
+- Current Write a summary of a classic D&D character archetype 🗡️
+- Research Add roles, special abilities, and motivations for NPC creation 🔮
+- Future AI-enhanced roleplay character dynamics 🚀
+
+3. Entity-Focused Narrative Creation
+1. Monster Mythology
+- Current Create monsters with unique traits like ‘Crimson Obelisk Wurm’ 🐉
+- Research Add lore and origin stories with detailed classifications 🔬
+- Future Dynamic AI monster lore generators 🚀
+2. Artifact Legacy
+- Current Describe legendary artifacts like ‘The Aetherflame Prism’ 🧙‍♂️
+- Research Add historical narratives and effects on wielders 🔬
+- Future AI-designed item crafting 🚀
+3. Heroic Figures
+- Current Write backstories for heroic figures like ‘Syran Stormblade’ ⚔️
+- Research Integrate figures into broader campaigns and their achievements 🔬
+- Future Procedurally generated heroes 🚀
+
+4. Immersive Dialogues and Roleplay
+1. NPC Conversations
+- Current Generate realistic NPC dialogues like in ‘The Ghostwood Forest’ 🗨️
+- Research Add depth to NPC motivations and interactions 🔬
+- Future AI-led adaptive NPC behavior 🚀
+2. Villain Confrontations
+- Current Design confrontations with unique villains like ‘Eldrazar the Timeless’ 👹
+- Research Layer villains with complex personalities and backstories 🔬
+- Future AI-driven antagonist strategy generation 🚀
+
+5. World-Building
+1. Cultural Narratives
+- Current Describe civilizations like ‘The Emberkin’ 🌋
+- Research Add societal structures and traditions 🔬
+- Future AI-created evolving societies 🚀
+2. Mythic Locations
+- Current Create locations like ‘The Whispering Wastes’ 🏜️
+- Research Integrate locations into broader world lore 🔬
+- Future Fully explorable AI worlds 🚀
+3. Dimensional Realms
+- Current Design parallel dimensions like ‘The Veil of Shadows’ 🌌
+- Research Add magical laws and inhabitants 🔬
+- Future AI-generated multiverses 🚀
+
+6. Quests and Campaigns
+1. Campaign Arcs
+- Current Design multi-part campaigns like retrieving ‘The Obsidian Crown’ 🎯
+- Research Add NPC, obstacle, and objective integration 🔬
+- Future AI-created campaign blueprints 🚀
+2. Encounter Design
+- Current Create encounters like facing ‘The Frostbane Golem’ 🧊
+- Research Add detailed strategies and reward systems 🔬
+- Future AI-led encounter simulations 🚀
+3. Legendary Betrayals
+- Current Write scenarios with plot twists, e.g., ‘Thane Vorthak’s betrayal’ 🤔
+- Research Add motivations and dramatic tension 🔬
+- Future AI-generated unpredictable twists 🚀
+
+7. AI Collaboration for Dual Perspectives
+1. Scene Duality
+- Current Generate battle scenes like adventurers vs. a Beholder 🛡️
+- Research Rewrite scenes from different perspectives 🔬
+- Future AI-enhanced multi-perspective storytelling 🚀
+2. Tag Comparison
+- Current Classify entities like MON, LOC, ART using NER tags 🏷️
+- Research Refine classifications with AI collaboration 🔬
+- Future Real-time AI entity extraction 🚀
+
+8. Experimental Storytelling Techniques
+1. Lore Fusion
+- Current Combine legends like ‘Stormcallers’ and ‘Voidseers’ 🌀
+- Research Create shared histories with dynamic lore layers 🔬
+- Future AI-driven mythos merging 🚀
+2. Procedural Creativity
+- Current Generate tables of random D&D entities 📊
+- Research Add adaptive tags for dynamic storytelling 🔬
+- Future Procedural AI entity generation 🚀
+
+9. Advanced NER Applications
+1. Custom Tags
+- Current Create tags like SPELL and TRAP for dungeon-specific entities 🔗
+- Research Train AI on niche tags for unique entity extraction 🔬
+- Future AI-driven custom tag creation 🚀
+2. Entity Extraction
+- Current Extract entities from passages like ‘The Sunken Crypts’ 🏚️
+- Research Add advanced AI classification accuracy 🔬
+- Future Automated fine-tuning for AI models 🚀
+3. Dimensional Entities
+- Current Classify niche entities like ‘Voidwalkers’ 🌠
+- Research Train models for multi-dimensional lore 🔬
+- Future AI multiverse exploration 🚀
+
+Active Multiplayer Games 2024 🎮
+
+1 Traditional MMORPGs 🗡️
+
+1.1 Major MMORPGs 🏰
+- Final Fantasy XIV Dawntrail 2024 ⚔️
+  - Advanced Job System Rework 🎭
+  - Cross Platform Integration 🎪
+  - New Housing Districts 🏘️
+
+- World of Warcraft 2024 Season 🐲
+  - Dragon Combat System 🦋
+  - Cross Faction Features ⚜️
+  - Mythic Plus Seasons 🏆
+
+- Elder Scrolls Online Gold Road 🗝️
+  - Dynamic Event System 🌟
+  - Housing Construction 🏛️
+  - Champion System 2.0 📊
+
+- Lost Ark Western T4 Update ⚡
+  - Legion Raid Content 👾
+  - Island Adventure System 🏝️
+  - Class Balance Rework 🔰
+
+- Black Desert Online Remaster 🎪
+  - Combat System Update 🎯
+  - Node Empire System 🏹
+  - Life Skill Evolution 🌳
+
+1.2 Emerging MMORPGs 🌠
+- Throne and Liberty Launch 👑
+  - Weather Combat System 🌦️
+  - Territory Wars 🗺️
+  - Transformation System 🐉
+
+- Pax Dei Medieval MMO ⚔️
+  - City Management 🏰
+  - Faith Based Magic ✨
+  - Global Trading 💎
+
+- Blue Protocol Western Release 🌌
+  - Action Combat Design 🎭
+  - Class Change System ⚡
+  - Dungeon Scaling 🗼
+
+2 Survival MMOs 🏹
+
+2.1 Established Survival 🛡️
+- Rust 2024 Updates 🦾
+  - Electricity Programming 💡
+  - Vehicle System Update 🚗
+  - Automated Defenses ⚡
+
+- ARK Survival Ascended 🦖
+  - Cross ARK System 🌐
+  - Creature Breeding 2.0 🥚
+  - Base Defense Network 🏰
+
+- DayZ 2024 Content 🧟
+  - Medical System Update 💉
+  - Disease Mechanics 🦠
+  - Base Building 2.0 🏗️
+
+- 7 Days to Die Alpha 22 🏚️
+  - Physics Engine Update 💥
+  - AI Pathfinding System 🧠
+  - Vehicle Customization 🚙
+
+2.2 New Survival MMOs 🆕
+- Once Human Launch 🧬
+  - Mutation System 🧪
+  - Base Building Tech 🏭
+  - Weather Impact System 🌪️
+
+- Nightingale Release 🌙
+  - Portal Realm System 🌌
+  - Victorian Crafting 🎩
+  - Fae World Design 🧚
+
+3 Hybrid MMOs 🎯
+
+3.1 Looter Shooters 🔫
+- Destiny 2 2024 Season 🛸
+  - Build System 3.0 🛠️
+  - Raid Mechanics ⭐
+  - Season Structure 📈
+
+- The Division 2 Year 6 🏙️
+  - Loadout Expansion 🎒
+  - Dark Zone Update 🌃
+  - Manhunt System 🎯
+
+- Warframe 2024 Update 🤖
+  - Movement Tech 2.0 🏃
+  - Mod System Rework ⚙️
+  - Open World Expansion 🌅
+
+3.2 Action RPG MMOs 💫
+- Path of Exile 2 Beta 💎
+  - Gem System Rework 💫
+  - New Skill Tree 🌲
+  - League Content 🏆
+
+- Diablo 4 Season Structure 😈
+  - Season Journey System 🎭
+  - World Boss Events 🐲
+  - PvP Territories 🗡️
+
+4 Simulation MMOs 🌍
+
+4.1 Space Simulation 🚀
+- EVE Online 2024 🛸
+  - Corporation Warfare 🏴‍☠️
+  - Market System Update 📊
+  - Fleet Operations 🚢
+
+- Elite Dangerous Update 🌌
+  - Ground Combat System 👨‍🚀
+  - Fleet Carrier Content ⭐
+  - Planet Exploration 🪐
+
+- Star Citizen Alpha 🛸
+  - Persistent Universe 🌍
+  - Ship Combat Update ⚔️
+  - Trading System 2.0 💰
+
+4.2 World Simulation 🌎
+- New World Eternal 🗺️
+  - Territory System 🏰
+  - Crafting Update 🛠️
+  - War System 2.0 ⚔️
+
+- Albion Online 2024 🏹
+  - Guild Warfare Update ⚔️
+  - Economy System 2.0 💰
+  - Territory Control 🏰
+
+5 Unique Multiplayer Games 🎲
+
+5.1 Adventure Multiplayer 🗺️
+- Sea of Thieves 2024 ⛵
+  - Ship Combat Physics 🌊
+  - Crew Management 🏴‍☠️
+  - World Events 🎪
+
+- Valheim Updates ⚡
+  - Building System 2.0 🏗️
+  - Boss Progression 👹
+  - Exploration Update 🗺️
+
+5.2 Combat Focused 🗡️
+- Mordhau 2024 ⚔️
+  - Combat Physics Update 🤺
+  - Map System Rework 🏰
+  - Tournament System 🏆
+
+- For Honor Year 8 🛡️
+  - Faction War Update ⚔️
+  - Hero Rework System 🎭
+  - Seasonal Content 🌟
+"""
+
+def get_display_name(filename):
+    """Extract text from parentheses or return filename as is."""
+    match = re.search(r'\((.*?)\)', filename)
+    if match:
+        return match.group(1)
+    return filename
+
+def get_time_display(filename):
+    """Extract just the time portion from the filename."""
+    time_match = re.match(r'(\d{2}\d{2}[AP]M)', filename)
+    if time_match:
+        return time_match.group(1)
+    return filename
+
+def sanitize_filename(text):
+    """Create a safe filename from text while preserving spaces."""
+    safe_text = re.sub(r'[^\w\s-]', ' ', text)
+    safe_text = re.sub(r'\s+', ' ', safe_text)
+    safe_text = safe_text.strip()
+    return safe_text[:50]
+
+def generate_timestamp_filename(query):
+    """Generate filename with format: 1103AM 11032024 (Query).md"""
+    central = pytz.timezone('US/Central')
+    current_time = datetime.now(central)
+    time_str = current_time.strftime("%I%M%p")
+    date_str = current_time.strftime("%m%d%Y")
+    safe_query = sanitize_filename(query)
+    filename = f"{time_str} {date_str} ({safe_query}).md"
+    return filename
+
+def delete_file(file_path):
+    try:
+        os.remove(file_path)
+        return True
+    except Exception as e:
+        st.error(f"Error deleting file: {e}")
+        return False
+
+def save_ai_interaction(query, ai_result, is_rerun=False):
+    filename = generate_timestamp_filename(query)
+    if is_rerun:
+        content = f"""# Rerun Query
+Original file content used for rerun:
+
+{query}
+
+# AI Response (Fun Version)
+{ai_result}
+"""
+    else:
+        content = f"""# Query: {query}
+
+## AI Response
+{ai_result}
+"""
+    try:
+        with open(filename, 'w', encoding='utf-8') as f:
+            f.write(content)
+        return filename
+    except Exception as e:
+        st.error(f"Error saving file: {e}")
+        return None
+
+def get_file_download_link(file_path):
+    try:
+        with open(file_path, 'r', encoding='utf-8') as f:
+            content = f.read()
+        b64 = base64.b64encode(content.encode()).decode()
+        filename = os.path.basename(file_path)
+        return f'<a href="data:text/markdown;base64,{b64}" download="{filename}">{get_display_name(filename)}</a>'
+    except Exception as e:
+        st.error(f"Error creating download link: {e}")
+        return None
+
+def extract_terms(markdown_text):
+    lines = markdown_text.strip().split('\n')
+    terms = []
+    for line in lines:
+        line = re.sub(r'^[#*\->\d\.\s]+', '', line).strip()
+        if line:
+            terms.append(line)
+    return terms
+
+def extract_urls(text):
+    try:
+        date_pattern = re.compile(r'### (\d{2} \w{3} \d{4})')
+        abs_link_pattern = re.compile(r'\[(.*?)\]\((https://arxiv\.org/abs/\d+\.\d+)\)')
+        pdf_link_pattern = re.compile(r'\[⬇️\]\((https://arxiv\.org/pdf/\d+\.\d+)\)')
+        title_pattern = re.compile(r'### \d{2} \w{3} \d{4} \| \[(.*?)\]')
+        date_matches = date_pattern.findall(text)
+        abs_link_matches = abs_link_pattern.findall(text)
+        pdf_link_matches = pdf_link_pattern.findall(text)
+        title_matches = title_pattern.findall(text)
+        markdown_text = ""
+        for i in range(len(date_matches)):
+            date = date_matches[i]
+            title = title_matches[i]
+            abs_link = abs_link_matches[i][1]
+            pdf_link = pdf_link_matches[i]
+            markdown_text += f"**Date:** {date}\n\n"
+            markdown_text += f"**Title:** {title}\n\n"
+            markdown_text += f"**Abstract Link:** [{abs_link}]({abs_link})\n\n"
+            markdown_text += f"**PDF Link:** [{pdf_link}]({pdf_link})\n\n"
+            markdown_text += "---\n\n"
+        return markdown_text
+    except:
+        st.write('.')
+        return ''
+
+@st.cache_resource
+def SpeechSynthesis(result):
+    documentHTML5 = '''
+    <!DOCTYPE html>
+    <html>
+    <head>
+        <title>Read It Aloud</title>
+        <script type="text/javascript">
+            function readAloud() {
+                const text = document.getElementById("textArea").value;
+                const speech = new SpeechSynthesisUtterance(text);
+                window.speechSynthesis.speak(speech);
+            }
+        </script>
+    </head>
+    <body>
+        <h1>🔊 Read It Aloud</h1>
+        <textarea id="textArea" rows="10" cols="80">
+    '''
+    documentHTML5 = documentHTML5 + result
+    documentHTML5 = documentHTML5 + '''
+        </textarea>
+        <br>
+        <button onclick="readAloud()">🔊 Read Aloud</button>
+    </body>
+    </html>
+    '''
+    components.html(documentHTML5, width=1280, height=300)
+
+def display_terms_with_links(terms):
+    search_urls = {
+        "📚📖ArXiv": lambda k: f"/?q={quote(k)}",
+        "🔮<sup>Google</sup>": lambda k: f"https://www.google.com/search?q={quote(k)}",
+        "📺<sup>Youtube</sup>": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
+        "🔭<sup>Bing</sup>": lambda k: f"https://www.bing.com/search?q={quote(k)}",
+        "💡<sup>Truth</sup>": lambda k: f"https://truthsocial.com/search?q={quote(k)}",
+        "📱X": lambda k: f"https://twitter.com/search?q={quote(k)}",
+    }
+    for term in terms:
+        links_md = ' '.join([f"[{emoji}]({url(term)})" for emoji, url in search_urls.items()])
+        st.markdown(f"- **{term}** {links_md}", unsafe_allow_html=True)
+
+def search_arxiv(query):
+    st.write("Performing AI Lookup...")
+    client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
+    
+    result1 = client.predict(
+        prompt=query,
+        llm_model_picked="mistralai/Mixtral-8x7B-Instruct-v0.1",
+        stream_outputs=True,
+        api_name="/ask_llm"
+    )
+    st.markdown("### Mixtral-8x7B-Instruct-v0.1 Result")
+    st.markdown(result1)
+
+    result2 = client.predict(
+        prompt=query,
+        llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
+        stream_outputs=True,
+        api_name="/ask_llm"
+    )
+    st.markdown("### Mistral-7B-Instruct-v0.2 Result")
+    st.markdown(result2)
+    combined_result = f"{result1}\n\n{result2}"
+    return combined_result
+
+def generate_filename(prompt, file_type):
+    central = pytz.timezone('US/Central')
+    safe_date_time = datetime.now(central).strftime("%m%d_%H%M")
+    safe_prompt = re.sub(r'\W+', '_', prompt)[:90]
+    return f"{safe_date_time}_{safe_prompt}.{file_type}"
+
+def create_file(filename, prompt, response):
+    with open(filename, 'w', encoding='utf-8') as file:
+        file.write(prompt + "\n\n" + response)
+
+def perform_ai_lookup(query):
+    start_time = time.strftime("%Y-%m-%d %H:%M:%S")
+    client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
+    response1 = client.predict(
+        query,
+        20,
+        "Semantic Search",
+        "mistralai/Mixtral-8x7B-Instruct-v0.1",
+        api_name="/update_with_rag_md"
+    )
+    Question = '### 🔎 ' + query + '\r\n'
+    References = response1[0]
+    ReferenceLinks = extract_urls(References)
+
+    RunSecondQuery = True
+    results = ''
+    if RunSecondQuery:
+        response2 = client.predict(
+            query,
+            "mistralai/Mixtral-8x7B-Instruct-v0.1",
+            True,
+            api_name="/ask_llm"
+        )
+        if len(response2) > 10:
+            Answer = response2
+            SpeechSynthesis(Answer)
+            results = Question + '\r\n' + Answer + '\r\n' + References + '\r\n' + ReferenceLinks
+            st.markdown(results)
+
+    st.write('🔍Run of Multi-Agent System Paper Summary Spec is Complete')
+    end_time = time.strftime("%Y-%m-%d %H:%M:%S")
+    start_timestamp = time.mktime(time.strptime(start_time, "%Y-%m-%d %H:%M:%S"))
+    end_timestamp = time.mktime(time.strptime(end_time, "%Y-%m-%d %H:%M:%S"))
+    elapsed_seconds = end_timestamp - start_timestamp
+    st.write(f"Start time: {start_time}")
+    st.write(f"Finish time: {end_time}")
+    st.write(f"Elapsed time: {elapsed_seconds:.2f} seconds")
+    
+    filename = generate_filename(query, "md")
+    create_file(filename, query, results)
+    return results
+
+def display_file_content(file_path):
+    try:
+        with open(file_path, 'r', encoding='utf-8') as f:
+            content = f.read()
+        if st.session_state.view_mode == 'view':
+            st.markdown(content)
+        else:
+            edited_content = st.text_area(
+                "Edit content",
+                content,
+                height=400,
+                key=f"edit_{os.path.basename(file_path)}"
+            )
+            if st.button("Save Changes", key=f"save_{os.path.basename(file_path)}"):
+                try:
+                    with open(file_path, 'w', encoding='utf-8') as f:
+                        f.write(edited_content)
+                    st.success(f"Successfully saved changes to {file_path}")
+                except Exception as e:
+                    st.error(f"Error saving changes: {e}")
+    except Exception as e:
+        st.error(f"Error reading file: {e}")
+
+def file_management_sidebar():
+    st.sidebar.title("📁 File Management")
+    md_files = [file for file in glob.glob("*.md") if file.lower() != 'readme.md']
+    md_files.sort()
+    st.session_state.files = md_files
+    
+    if md_files:
+        st.sidebar.markdown("### Saved Files")
+        for idx, file in enumerate(md_files):
+            st.sidebar.markdown("---")
+            st.sidebar.text(get_time_display(file))
+            download_link = get_file_download_link(file)
+            if download_link:
+                st.sidebar.markdown(download_link, unsafe_allow_html=True)
+            col1, col2, col3, col4 = st.sidebar.columns(4)
+            with col1:
+                if st.button("📄View", key=f"view_{idx}"):
+                    st.session_state.selected_file = file
+                    st.session_state.view_mode = 'view'
+            with col2:
+                if st.button("✏️Edit", key=f"edit_{idx}"):
+                    st.session_state.selected_file = file
+                    st.session_state.view_mode = 'edit'
+            with col3:
+                if st.button("🔄Run", key=f"rerun_{idx}"):
+                    try:
+                        with open(file, 'r', encoding='utf-8') as f:
+                            content = f.read()
+                        rerun_prefix = """For the markdown below reduce the text to a humorous fun outline with emojis and markdown outline levels in outline that convey all the facts and adds wise quotes and funny statements to engage the reader:
+
+"""
+                        full_prompt = rerun_prefix + content
+                        ai_result = perform_ai_lookup(full_prompt)
+                        saved_file = save_ai_interaction(content, ai_result, is_rerun=True)
+                        if saved_file:
+                            st.success(f"Created fun version in {saved_file}")
+                            st.session_state.selected_file = saved_file
+                            st.session_state.view_mode = 'view'
+                    except Exception as e:
+                        st.error(f"Error during rerun: {e}")
+            with col4:
+                if st.button("🗑️Delete", key=f"delete_{idx}"):
+                    if delete_file(file):
+                        st.success(f"Deleted {file}")
+                        st.rerun()
+                    else:
+                        st.error(f"Failed to delete {file}")
+        st.sidebar.markdown("---")
+        if st.sidebar.button("📝 Create New Note"):
+            filename = generate_timestamp_filename("New Note")
+            with open(filename, 'w', encoding='utf-8') as f:
+                f.write("# New Markdown File\n")
+            st.sidebar.success(f"Created: {filename}")
+            st.session_state.selected_file = filename
+            st.session_state.view_mode = 'edit'
+    else:
+        st.sidebar.write("No markdown files found.")
+        if st.sidebar.button("📝 Create First Note"):
+            filename = generate_timestamp_filename("New Note")
+            with open(filename, 'w', encoding='utf-8') as f:
+                f.write("# New Markdown File\n")
+            st.sidebar.success(f"Created: {filename}")
+            st.session_state.selected_file = filename
+            st.session_state.view_mode = 'edit'
+
+def main():
+    st.markdown("### AI Knowledge Tree Builder 🧠🌱 Cultivate Your AI Mindscape!")
+    
+    # Process query parameters and AI lookup first
+    query_params = st.query_params
+    query = query_params.get('q', [''])[0]   # Modified: extract the first element from the query parameter list
+    show_initial_content = True
+    
+    if query:
+        show_initial_content = False
+        st.write(f"### Search query received: {query}")
+        try:
+            ai_result = perform_ai_lookup(query)
+            saved_file = save_ai_interaction(query, ai_result)
+            if saved_file:
+                st.success(f"Saved interaction to {saved_file}")
+                st.session_state.selected_file = saved_file
+                st.session_state.view_mode = 'view'
+        except Exception as e:
+            st.error(f"Error during AI lookup: {e}")
+
+    file_management_sidebar()
+
+    if st.session_state.selected_file:
+        show_initial_content = False
+        if os.path.exists(st.session_state.selected_file):
+            st.markdown(f"### Current File: {st.session_state.selected_file}")
+            display_file_content(st.session_state.selected_file)
+        else:
+            st.error("Selected file no longer exists.")
+            st.session_state.selected_file = None
+            st.rerun()
+
+    if show_initial_content:
+        terms1 = extract_terms(AITopicsToInnovate1)
+        terms2 = extract_terms(Multiplayer_Custom_Hosting_Game_Servers_For_Simulated_Worlds)
+        terms3 = extract_terms(BiologyAndLevel36MagicUsers)
+        all_terms = terms1 + terms2 + terms3
+
+        col1, col2, col3, col4, col5, col6 = st.columns(6)
+        with col1:
+            st.markdown("#### AI Topics to Innovate With")
+            st.markdown(AITopicsToInnovate1)
+        with col2:
+            st.markdown("#### AI Agent Links")
+            display_terms_with_links(terms1)
+        with col3:
+            st.markdown("#### Biology Innovation with Data Science and AI Solutions")
+            st.markdown(BiologyAndLevel36MagicUsers)
+        with col4:
+            st.markdown("#### Biology Innovation Agent Links")
+            display_terms_with_links(terms3)
+        with col5:
+            st.markdown("#### Multiplayer Games and MMOs")
+            st.markdown(Multiplayer_Custom_Hosting_Game_Servers_For_Simulated_Worlds)
+        with col6:
+            st.markdown("#### Multiplayer Game and MMO Links")
+            display_terms_with_links(terms2)
+
+if __name__ == "__main__":
+    main()