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Update app.py
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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
# ๐ŸŒณ๐Ÿค– AIKnowledgeTreeBuilder - Because every app needs a good costume!
Site_Name = 'AI Knowledge Tree Builder ๐Ÿ“ˆ๐ŸŒฟ Grow Smarter with Every Click'
title = "๐ŸŒณโœจAI Knowledge Tree Builder๐Ÿ› ๏ธ๐Ÿค“"
helpURL = 'https://huggingface.co/spaces/awacke1/AIKnowledgeTreeBuilder/'
bugURL = 'https://huggingface.co/spaces/awacke1/AIKnowledgeTreeBuilder/'
icons = '๐ŸŒณโœจ๐Ÿ› ๏ธ๐Ÿค“'
SidebarOutline="""๐ŸŒณ๐Ÿค– Designed with the following tenets:
1 ๐Ÿ“ฑ **Portability** - Universal access via any device & link sharing
2. โšก **Speed of Build** - Rapid deployments < 2min to production
3. ๐Ÿ”— **Linkiness** - Programmatic access to AI knowledge sources
4. ๐ŸŽฏ **Abstractive** - Core stays lean isolating high-maintenance components
5. ๐Ÿง  **Memory** - Shareable flows deep-linked research paths
6. ๐Ÿ‘ค **Personalized** - Rapidly adapts knowledge base to user needs
7. ๐Ÿฆ **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 ๐Ÿงช
- Research Gene therapy siRNA ๐Ÿ”ฌ
- Future Programmable genetics ๐Ÿš€
2. Cell Origin
- Current iPSCs organoids ๐Ÿฆ 
- Research Synthetic cells ๐Ÿ”ฌ
- Future De novo cell creation ๐Ÿš€
3. Form Function
- Current Bioprinting ๐Ÿซ€
- Research 4D printing ๐Ÿ”ฌ
- Future Self assembling structures ๐Ÿš€
4. Homeostasis
- Current Artificial pancreas ๐Ÿค–
- Research Nanorobots ๐Ÿ”ฌ
- Future Autonomous regulation ๐Ÿš€
5. Evolution
- Current Directed evolution ๐Ÿงซ
- Research Synthetic biology ๐Ÿ”ฌ
- Future Accelerated adaptation ๐Ÿš€
6. Energy Conservation
- Current Biofuel cells โšก
- Research Quantum biology ๐Ÿ”ฌ
- Future Biological perpetual motion ๐Ÿš€
7. Cellular Life
- Current Organoid systems ๐Ÿ”ฎ
- Research Hybrid cells ๐Ÿ”ฌ
- Future Silicon based life ๐Ÿš€
8. Inheritance Patterns
- Current Gene drives ๐Ÿงฉ
- Research Epigenetic control ๐Ÿ”ฌ
- Future Designed inheritance ๐Ÿš€
9. Energy Requirements
- Current Metabolic engineering ๐Ÿ”‹
- Research Synthetic photosynthesis ๐Ÿ”ฌ
- Future Zero energy life ๐Ÿš€
10. Random Mutation
- Current Base editing ๐ŸŽฏ
- Research Mutation prediction ๐Ÿ”ฌ
- Future Controlled evolution ๐Ÿš€
11. Carbon Based Life
- Current Alternative biochemistry ๐Ÿ’Ž
- Research Silicon biology ๐Ÿ”ฌ
- Future Non carbon life ๐Ÿš€
12. Size Limitations
- Current Nanostructures ๐Ÿ“
- Research Quantum biology ๐Ÿ”ฌ
- Future Scalable organisms ๐Ÿš€
13. Species Interdependence
- Current Synthetic ecosystems ๐ŸŒฟ
- Research Artificial symbiosis ๐Ÿ”ฌ
- Future Independent life ๐Ÿš€
14. Stimulus Response
- Current Brain computer interfaces ๐Ÿง 
- Research Neural engineering ๐Ÿ”ฌ
- Future Direct consciousness control ๐Ÿš€
15. Development Complexity
- Current Accelerated growth ๐ŸŒฑ
- Research Development control ๐Ÿ”ฌ
- Future Instant maturation ๐Ÿš€
16. Population Growth
- Current Population control ๐Ÿ“Š
- Research Sustainable ecosystems ๐Ÿ”ฌ
- Future Perfect equilibrium ๐Ÿš€
17. Energy Flow
- Current Enhanced photosynthesis ๐ŸŒž
- Research Energy optimization ๐Ÿ”ฌ
- Future Perpetual systems ๐Ÿš€
18. Environmental Adaptation
- Current Climate resistance ๐ŸŒ
- Research Universal adaptation ๐Ÿ”ฌ
- Future Environment independence ๐Ÿš€
19. Genetic Inheritance
- Current Gene editing ๐Ÿงฌ
- Research Trait programming ๐Ÿ”ฌ
- Future Perfect inheritance ๐Ÿš€
20. Reproduction
- Current Artificial wombs ๐Ÿ‘ถ
- Research Cloning advances ๐Ÿ”ฌ
- Future Asexual human reproduction ๐Ÿš€
21. Aging Death
- Current Longevity therapy โฐ
- Research Age reversal ๐Ÿ”ฌ
- Future Biological immortality ๐Ÿš€
"""
AITopicsToInnovate1="""
1. Major AI Industry Players ๐ŸŒ
1. Research Leaders ๐ŸŽฏ
- OpenAI: GPT-4 DALL-E Foundation Models ๐Ÿ”ต
- Google: PaLM Gemini LLMs ๐ŸŸฆ
- Anthropic: Claude Constitutional AI โšก
- Meta: LLaMA Open Source LLMs ๐Ÿ‘ค
- xAI: Grok Conversational AI ๐Ÿค–
2. Technical AI Development ๐Ÿ› ๏ธ
1. Architecture Advances ๐Ÿ’ซ
- Transformer Models Attention Mechanisms ๐Ÿง 
- Mixture of Experts MoE Architecture ๐ŸŽช
- Sparse Neural Networks ๐Ÿ•ธ๏ธ
- Multi-modal LLM Systems ๐ŸŒˆ
- Flash Attention Optimization โš”๏ธ
2. Training Methodologies ๐Ÿ“š
- LLM Supervised Fine-tuning ๐Ÿ‘จโ€๐Ÿซ
- RLHF Reward Models ๐Ÿค
- Constitutional AI Training ๐Ÿ“œ
- RLAIF Feedback Models ๐Ÿ”„
- Synthetic Data LLM Training ๐ŸŽฒ
- Chain of Thought Prompting ๐Ÿงฉ
- Tree of Thoughts Reasoning ๐ŸŒณ
3. Post-Training Implementation ๐Ÿ”ง
- Neural Network Distillation ๐Ÿงช
- LLM Quantization Methods ๐Ÿ“Š
- Neural Network Pruning โœ‚๏ธ
- Knowledge Distillation Transfer ๐Ÿ“–
- Few-shot LLM Learning ๐ŸŽฏ
3. Mechanistic Interpretability ๐Ÿ”ฌ
1. Core Concepts ๐Ÿ’ก
- Neural Network Growth Analysis ๐ŸŒฑ
- LLM Architecture Analysis ๐Ÿ—๏ธ
- Training Loss Optimization ๐ŸŽจ
- Neural Network Analogies ๐Ÿงฌ
2. Technical Features ๐Ÿ“
- LLM Linear Representations โžก๏ธ
- Neural Vector Arithmetic ๐Ÿ”ข
- Neural Activation Patterns ๐ŸŒŠ
- LLM Feature Detection ๐Ÿ”
- Neural Sparse Autoencoders ๐ŸŽญ
3. Network Analysis ๐Ÿ•ต๏ธ
- LLM Induction Heads ๐Ÿ‘€
- Transformer Attention Analysis ๐ŸŽช
- Neural Circuit Analysis ๐Ÿ”Œ
- LLM Feature Visualization ๐Ÿ“ˆ
- Neural Concept Directions ๐ŸŽณ
4. Future AI Developments ๐Ÿš€
1. AGI Timeline โฐ
- AGI Capability Projections ๐Ÿ“…
- Neural Hardware Scaling ๐Ÿ’พ
- LLM Training Data Limits ๐Ÿ“‰
- AI Compute Resources ๐Ÿ—บ๏ธ
2. Integration Fields ๐ŸŽก
- AI Biology Integration ๐Ÿ”ฎ
- AI Drug Discovery Systems ๐Ÿ’Š
- AI Clinical Trial Analysis ๐Ÿฅ
- AI Code Generation ๐Ÿคน
- AI Scientific Discovery ๐Ÿงฎ
5. Industry Best Practices ๐Ÿ’Ž
1. AI Team Building ๐Ÿข
- AI Talent Development ๐Ÿ‘ฅ
- AI Research Alignment ๐ŸŽช
- AI Team Scaling ๐Ÿ“Š
- AI Research Culture ๐ŸŒŸ
2. AI Research Qualities ๐ŸŽ“
- AI Research Methodology ๐Ÿงญ
- AI Experimentation Protocols ๐Ÿ—๏ธ
- AI Innovation Thinking ๐Ÿ’ซ
- AI Testing Framework โš–๏ธ
3. AI Safety Standards ๐Ÿ›ก๏ธ
- LLM Behavioral Specifications ๐Ÿ“‹
- AI Safety Guidelines ๐ŸŽฎ
- AI Ethics Framework โ›‘๏ธ
- AI Industry Standards ๐Ÿคฒ
6. Emerging Research Areas ๐Ÿ”ฎ
1. Technical Focus ๐ŸŽฏ
- LLM Long Context Learning โณ
- LLM Multi-agent Interaction ๐Ÿ‘พ
- AI Evaluation Metrics ๐Ÿ“Œ
- Neural Interpretability Methods ๐Ÿ”ญ
2. AI Applications ๐Ÿ’ผ
- AI Automated Research ๐Ÿงซ
- AI Code Synthesis โŒจ๏ธ
- AI Biological Modeling ๐Ÿงฏ
- AI Medical Diagnostics ๐Ÿ’‰
7. Model Intelligence ๐Ÿงฟ
1. LLM System Development ๐ŸŽช
- LLM Prompt Engineering ๐Ÿ“
- LLM Response Generation โ™Ÿ๏ธ
- LLM Behavioral Training ๐ŸŽน
- LLM Personality Development ๐ŸŽช
2. LLM User Interaction ๐ŸŽญ
- LLM Autonomy Alignment ๐ŸŽช
- LLM Safety Boundaries ๐Ÿ”’
- LLM Communication Patterns ๐Ÿ—ฃ๏ธ
- LLM Performance Tuning ๐ŸŽข
"""
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 ๐Ÿž๏ธ
- Research Add domain-specific entities like mythical creatures, enchanted terrains, or ancient artifacts ๐Ÿงโ€โ™‚๏ธ
- Future Fully AI-generated interactive worldbuilding ๐Ÿš€
2. Archetypal Overview
- Current Write a summary of a classic D&D character archetype ๐Ÿ—ก๏ธ
- Research Add roles, special abilities, and motivations for NPC creation ๐Ÿ”ฎ
- Future AI-enhanced roleplay character dynamics ๐Ÿš€
3. Entity-Focused Narrative Creation
1. Monster Mythology
- Current Create monsters with unique traits like โ€˜Crimson Obelisk Wurmโ€™ ๐Ÿ‰
- Research Add lore and origin stories with detailed classifications ๐Ÿ”ฌ
- Future Dynamic AI monster lore generators ๐Ÿš€
2. Artifact Legacy
- Current Describe legendary artifacts like โ€˜The Aetherflame Prismโ€™ ๐Ÿง™โ€โ™‚๏ธ
- Research Add historical narratives and effects on wielders ๐Ÿ”ฌ
- Future AI-designed item crafting ๐Ÿš€
3. Heroic Figures
- Current Write backstories for heroic figures like โ€˜Syran Stormbladeโ€™ โš”๏ธ
- Research Integrate figures into broader campaigns and their achievements ๐Ÿ”ฌ
- Future Procedurally generated heroes ๐Ÿš€
4. Immersive Dialogues and Roleplay
1. NPC Conversations
- Current Generate realistic NPC dialogues like in โ€˜The Ghostwood Forestโ€™ ๐Ÿ—จ๏ธ
- Research Add depth to NPC motivations and interactions ๐Ÿ”ฌ
- Future AI-led adaptive NPC behavior ๐Ÿš€
2. Villain Confrontations
- Current Design confrontations with unique villains like โ€˜Eldrazar the Timelessโ€™ ๐Ÿ‘น
- Research Layer villains with complex personalities and backstories ๐Ÿ”ฌ
- Future AI-driven antagonist strategy generation ๐Ÿš€
5. World-Building
1. Cultural Narratives
- Current Describe civilizations like โ€˜The Emberkinโ€™ ๐ŸŒ‹
- Research Add societal structures and traditions ๐Ÿ”ฌ
- Future AI-created evolving societies ๐Ÿš€
2. Mythic Locations
- Current Create locations like โ€˜The Whispering Wastesโ€™ ๐Ÿœ๏ธ
- Research Integrate locations into broader world lore ๐Ÿ”ฌ
- Future Fully explorable AI worlds ๐Ÿš€
3. Dimensional Realms
- Current Design parallel dimensions like โ€˜The Veil of Shadowsโ€™ ๐ŸŒŒ
- Research Add magical laws and inhabitants ๐Ÿ”ฌ
- Future AI-generated multiverses ๐Ÿš€
6. Quests and Campaigns
1. Campaign Arcs
- Current Design multi-part campaigns like retrieving โ€˜The Obsidian Crownโ€™ ๐ŸŽฏ
- Research Add NPC, obstacle, and objective integration ๐Ÿ”ฌ
- Future AI-created campaign blueprints ๐Ÿš€
2. Encounter Design
- Current Create encounters like facing โ€˜The Frostbane Golemโ€™ ๐ŸงŠ
- Research Add detailed strategies and reward systems ๐Ÿ”ฌ
- Future AI-led encounter simulations ๐Ÿš€
3. Legendary Betrayals
- Current Write scenarios with plot twists, e.g., โ€˜Thane Vorthakโ€™s betrayalโ€™ ๐Ÿค”
- Research Add motivations and dramatic tension ๐Ÿ”ฌ
- Future AI-generated unpredictable twists ๐Ÿš€
7. AI Collaboration for Dual Perspectives
1. Scene Duality
- Current Generate battle scenes like adventurers vs. a Beholder ๐Ÿ›ก๏ธ
- Research Rewrite scenes from different perspectives ๐Ÿ”ฌ
- Future AI-enhanced multi-perspective storytelling ๐Ÿš€
2. Tag Comparison
- Current Classify entities like MON, LOC, ART using NER tags ๐Ÿท๏ธ
- Research Refine classifications with AI collaboration ๐Ÿ”ฌ
- Future Real-time AI entity extraction ๐Ÿš€
8. Experimental Storytelling Techniques
1. Lore Fusion
- Current Combine legends like โ€˜Stormcallersโ€™ and โ€˜Voidseersโ€™ ๐ŸŒ€
- Research Create shared histories with dynamic lore layers ๐Ÿ”ฌ
- Future AI-driven mythos merging ๐Ÿš€
2. Procedural Creativity
- Current Generate tables of random D&D entities ๐Ÿ“Š
- Research Add adaptive tags for dynamic storytelling ๐Ÿ”ฌ
- Future Procedural AI entity generation ๐Ÿš€
9. Advanced NER Applications
1. Custom Tags
- Current Create tags like SPELL and TRAP for dungeon-specific entities ๐Ÿ”—
- Research Train AI on niche tags for unique entity extraction ๐Ÿ”ฌ
- Future AI-driven custom tag creation ๐Ÿš€
2. Entity Extraction
- Current Extract entities from passages like โ€˜The Sunken Cryptsโ€™ ๐Ÿš๏ธ
- Research Add advanced AI classification accuracy ๐Ÿ”ฌ
- Future Automated fine-tuning for AI models ๐Ÿš€
3. Dimensional Entities
- Current Classify niche entities like โ€˜Voidwalkersโ€™ ๐ŸŒ 
- Research Train models for multi-dimensional lore ๐Ÿ”ฌ
- Future AI multiverse exploration ๐Ÿš€
Active Multiplayer Games 2024 ๐ŸŽฎ
1 Traditional MMORPGs ๐Ÿ—ก๏ธ
1.1 Major MMORPGs ๐Ÿฐ
- Final Fantasy XIV Dawntrail 2024 โš”๏ธ
- Advanced Job System Rework ๐ŸŽญ
- Cross Platform Integration ๐ŸŽช
- New Housing Districts ๐Ÿ˜๏ธ
- World of Warcraft 2024 Season ๐Ÿฒ
- Dragon Combat System ๐Ÿฆ‹
- Cross Faction Features โšœ๏ธ
- Mythic Plus Seasons ๐Ÿ†
- Elder Scrolls Online Gold Road ๐Ÿ—๏ธ
- Dynamic Event System ๐ŸŒŸ
- Housing Construction ๐Ÿ›๏ธ
- Champion System 2.0 ๐Ÿ“Š
- Lost Ark Western T4 Update โšก
- Legion Raid Content ๐Ÿ‘พ
- Island Adventure System ๐Ÿ๏ธ
- Class Balance Rework ๐Ÿ”ฐ
- Black Desert Online Remaster ๐ŸŽช
- Combat System Update ๐ŸŽฏ
- Node Empire System ๐Ÿน
- Life Skill Evolution ๐ŸŒณ
1.2 Emerging MMORPGs ๐ŸŒ 
- Throne and Liberty Launch ๐Ÿ‘‘
- Weather Combat System ๐ŸŒฆ๏ธ
- Territory Wars ๐Ÿ—บ๏ธ
- Transformation System ๐Ÿ‰
- Pax Dei Medieval MMO โš”๏ธ
- City Management ๐Ÿฐ
- Faith Based Magic โœจ
- Global Trading ๐Ÿ’Ž
- Blue Protocol Western Release ๐ŸŒŒ
- Action Combat Design ๐ŸŽญ
- Class Change System โšก
- Dungeon Scaling ๐Ÿ—ผ
2 Survival MMOs ๐Ÿน
2.1 Established Survival ๐Ÿ›ก๏ธ
- Rust 2024 Updates ๐Ÿฆพ
- Electricity Programming ๐Ÿ’ก
- Vehicle System Update ๐Ÿš—
- Automated Defenses โšก
- ARK Survival Ascended ๐Ÿฆ–
- Cross ARK System ๐ŸŒ
- Creature Breeding 2.0 ๐Ÿฅš
- Base Defense Network ๐Ÿฐ
- DayZ 2024 Content ๐ŸงŸ
- Medical System Update ๐Ÿ’‰
- Disease Mechanics ๐Ÿฆ 
- Base Building 2.0 ๐Ÿ—๏ธ
- 7 Days to Die Alpha 22 ๐Ÿš๏ธ
- Physics Engine Update ๐Ÿ’ฅ
- AI Pathfinding System ๐Ÿง 
- Vehicle Customization ๐Ÿš™
2.2 New Survival MMOs ๐Ÿ†•
- Once Human Launch ๐Ÿงฌ
- Mutation System ๐Ÿงช
- Base Building Tech ๐Ÿญ
- Weather Impact System ๐ŸŒช๏ธ
- Nightingale Release ๐ŸŒ™
- Portal Realm System ๐ŸŒŒ
- Victorian Crafting ๐ŸŽฉ
- Fae World Design ๐Ÿงš
3 Hybrid MMOs ๐ŸŽฏ
3.1 Looter Shooters ๐Ÿ”ซ
- Destiny 2 2024 Season ๐Ÿ›ธ
- Build System 3.0 ๐Ÿ› ๏ธ
- Raid Mechanics โญ
- Season Structure ๐Ÿ“ˆ
- The Division 2 Year 6 ๐Ÿ™๏ธ
- Loadout Expansion ๐ŸŽ’
- Dark Zone Update ๐ŸŒƒ
- Manhunt System ๐ŸŽฏ
- Warframe 2024 Update ๐Ÿค–
- Movement Tech 2.0 ๐Ÿƒ
- Mod System Rework โš™๏ธ
- Open World Expansion ๐ŸŒ…
3.2 Action RPG MMOs ๐Ÿ’ซ
- Path of Exile 2 Beta ๐Ÿ’Ž
- Gem System Rework ๐Ÿ’ซ
- New Skill Tree ๐ŸŒฒ
- League Content ๐Ÿ†
- Diablo 4 Season Structure ๐Ÿ˜ˆ
- Season Journey System ๐ŸŽญ
- World Boss Events ๐Ÿฒ
- PvP Territories ๐Ÿ—ก๏ธ
4 Simulation MMOs ๐ŸŒ
4.1 Space Simulation ๐Ÿš€
- EVE Online 2024 ๐Ÿ›ธ
- Corporation Warfare ๐Ÿดโ€โ˜ ๏ธ
- Market System Update ๐Ÿ“Š
- Fleet Operations ๐Ÿšข
- Elite Dangerous Update ๐ŸŒŒ
- Ground Combat System ๐Ÿ‘จโ€๐Ÿš€
- Fleet Carrier Content โญ
- Planet Exploration ๐Ÿช
- Star Citizen Alpha ๐Ÿ›ธ
- Persistent Universe ๐ŸŒ
- Ship Combat Update โš”๏ธ
- Trading System 2.0 ๐Ÿ’ฐ
4.2 World Simulation ๐ŸŒŽ
- New World Eternal ๐Ÿ—บ๏ธ
- Territory System ๐Ÿฐ
- Crafting Update ๐Ÿ› ๏ธ
- War System 2.0 โš”๏ธ
- Albion Online 2024 ๐Ÿน
- Guild Warfare Update โš”๏ธ
- Economy System 2.0 ๐Ÿ’ฐ
- Territory Control ๐Ÿฐ
5 Unique Multiplayer Games ๐ŸŽฒ
5.1 Adventure Multiplayer ๐Ÿ—บ๏ธ
- Sea of Thieves 2024 โ›ต
- Ship Combat Physics ๐ŸŒŠ
- Crew Management ๐Ÿดโ€โ˜ ๏ธ
- World Events ๐ŸŽช
- Valheim Updates โšก
- Building System 2.0 ๐Ÿ—๏ธ
- Boss Progression ๐Ÿ‘น
- Exploration Update ๐Ÿ—บ๏ธ
5.2 Combat Focused ๐Ÿ—ก๏ธ
- Mordhau 2024 โš”๏ธ
- Combat Physics Update ๐Ÿคบ
- Map System Rework ๐Ÿฐ
- Tournament System ๐Ÿ†
- For Honor Year 8 ๐Ÿ›ก๏ธ
- Faction War Update โš”๏ธ
- Hero Rework System ๐ŸŽญ
- Seasonal Content ๐ŸŒŸ
6 Upcoming 2024 Games ๐Ÿ”ฎ
6.1 Launching Soon ๐Ÿ“…
- Gray Zone Warfare ๐ŸŽ–๏ธ
- Tactical Systems ๐ŸŽฏ
- Base Operations ๐Ÿข
- Territory Control ๐Ÿ—บ๏ธ
- Fractured Online ๐ŸŒŸ
- City Building ๐Ÿ—๏ธ
- Knowledge System ๐Ÿ“š
- Player Economy ๐Ÿ’ฐ
6.2 In Development ๐Ÿ› ๏ธ
- Ashes of Creation ๐Ÿฐ
- Node System ๐ŸŒฑ
- Castle Siege โš”๏ธ
- Caravan System ๐Ÿช
- Pantheon Rise of the Fallen ๐ŸŒ…
- Climate System ๐ŸŒฆ๏ธ
- Group Content Focus ๐Ÿ‘ฅ
- Perception System ๐Ÿ‘๏ธ
"""
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."""
# First replace unsafe characters with spaces
safe_text = re.sub(r'[^\w\s-]', ' ', text)
# Remove any multiple spaces
safe_text = re.sub(r'\s+', ' ', safe_text)
# Trim leading/trailing spaces
safe_text = safe_text.strip()
return safe_text[:50] # Limit length to 50 chars
def generate_timestamp_filename(query):
"""Generate filename with format: 1103AM 11032024 (Query).md"""
# Get current time in Central timezone
central = pytz.timezone('US/Central')
current_time = datetime.now(central)
# Format the timestamp parts
time_str = current_time.strftime("%I%M%p") # 1103AM format
date_str = current_time.strftime("%m%d%Y") # 11032024 format
# Clean up the query for filename - now preserving spaces
safe_query = sanitize_filename(query)
# Construct filename: "1103AM 11032024 (Input with spaces).md"
filename = f"{time_str} {date_str} ({safe_query}).md"
return filename
def delete_file(file_path):
"""Delete a file and return success status."""
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):
"""Save AI interaction to a markdown file with new filename format."""
filename = generate_timestamp_filename(query)
# Format the content differently for rerun vs normal 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}
"""
# Save to file
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):
"""Generate a base64 download link for a file."""
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):
"""Parse markdown text and extract terms."""
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'\[โฌ‡๏ธ\]\((https://arxiv\.org/pdf/\d+\.\d+)\)')
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 with the extracted fields
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 ''
# HTML5 based Speech Synthesis (Text to Speech in Browser)
@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>๐Ÿ”Š Read It Aloud</h1>
<textarea id="textArea" rows="10" cols="80">
'''
documentHTML5 = documentHTML5 + result
documentHTML5 = documentHTML5 + '''
</textarea>
<br>
<button onclick="readAloud()">๐Ÿ”Š Read Aloud</button>
</body>
</html>
'''
components.html(documentHTML5, width=1280, height=300)
def display_terms_with_links(terms):
"""Display terms with various search links."""
search_urls = {
"๐Ÿ“š๐Ÿ“–ArXiv": lambda k: f"/?q={quote(k)}", # Academic/paper theme
"๐Ÿ”ฎ<sup>Google</sup>": lambda k: f"https://www.google.com/search?q={quote(k)}", # Crystal ball for search
"๐Ÿ“บ<sup>Youtube</sup>": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}", # TV for videos
"๐Ÿ”ญ<sup>Bing</sup>": lambda k: f"https://www.bing.com/search?q={quote(k)}", # Telescope for search
"๐Ÿ’ก<sup>Truth</sup>": lambda k: f"https://truthsocial.com/search?q={quote(k)}", # Light bulb for insight
"๐Ÿ“ฑX": lambda k: f"https://twitter.com/search?q={quote(k)}", # Phone for social media
}
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
return responseall
# Function to generate a filename based on prompt and time (because names matter ๐Ÿ•’)
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}"
# Function to create and save a file (and avoid the black hole of lost data ๐Ÿ•ณ)
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 = '### ๐Ÿ”Ž ' + query + '\r\n' # Format for markdown display with links
References = response1[0]
ReferenceLinks = extract_urls(References)
RunSecondQuery = True
results=''
if RunSecondQuery:
# Search 2 - Retrieve the Summary with Papers Context and Original Query
response2 = client.predict(
query,
"mistralai/Mixtral-8x7B-Instruct-v0.1",
True,
api_name="/ask_llm"
)
if len(response2) > 10:
Answer = response2
SpeechSynthesis(Answer)
# Restructure results to follow format of Question, Answer, References, ReferenceLinks
results = Question + '\r\n' + Answer + '\r\n' + References + '\r\n' + ReferenceLinks
st.markdown(results)
st.write('๐Ÿ”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):
"""Display file content with editing capabilities."""
try:
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
if st.session_state.view_mode == 'view':
# Display as markdown when viewing
st.markdown(content)
else:
# Edit functionality
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():
"""Redesigned sidebar with improved layout and additional functionality."""
st.sidebar.title("๐Ÿ“ File Management")
# Get list of .md files excluding README.md
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("---") # Separator between files
# Display time
st.sidebar.text(get_time_display(file))
# Display download link with simplified text
download_link = get_file_download_link(file)
if download_link:
st.sidebar.markdown(download_link, unsafe_allow_html=True)
# Action buttons in a row
col1, col2, col3, col4 = st.sidebar.columns(4)
with col1:
if st.button("๐Ÿ“„View", key=f"view_{idx}"):
st.session_state.selected_file = file
st.session_state.view_mode = 'view'
with col2:
if st.button("โœ๏ธEdit", key=f"edit_{idx}"):
st.session_state.selected_file = file
st.session_state.view_mode = 'edit'
with col3:
if st.button("๐Ÿ”„Run", key=f"rerun_{idx}"):
try:
with open(file, 'r', encoding='utf-8') as f:
content = f.read()
# Prepare the prompt with the prefix
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
# Perform AI lookup and save results
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("๐Ÿ—‘๏ธ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("---")
# Option to create a new markdown file
if st.sidebar.button("๐Ÿ“ 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("๐Ÿ“ 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 ๐Ÿง ๐ŸŒฑ Cultivate Your AI Mindscape!")
# Process query parameters and AI lookup first
query_params = st.query_params
query = query_params.get('q', '')
show_initial_content = True # Flag to control initial content display
# First priority: Handle active query
if query:
show_initial_content = False # Hide initial content when showing query results
st.write(f"### Search query received: {query}")
try:
ai_result = perform_ai_lookup(query)
# Save the interaction
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
file_management_sidebar()
# Second priority: Display selected file content if any
if st.session_state.selected_file:
show_initial_content = False # Hide initial content when showing file content
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()
# Show initial content: Either when first landing or when no interactive elements are active
if show_initial_content:
# First show the clickable terms with links
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()