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
# ๐ณ๐ค AIKnowledgeTreeBuilder - Because every app needs a good costume!
Site_Name = 'AI Knowledge Tree Builder ๐๐ฟ Grow Smarter with Every Click'
title = "๐ณโจAI Knowledge Tree Builder๐ ๏ธ๐ค"
helpURL = 'https://huggingface.co/spaces/awacke1/AIKnowledgeTreeBuilder/'
bugURL = 'https://huggingface.co/spaces/awacke1/AIKnowledgeTreeBuilder/'
icons = '๐ณโจ๐ ๏ธ๐ค'
SidebarOutline="""
๐ณ๐ค AIKnowledgeTreeBuilder is designed with the following tenets:
1.๐ฑ **Portability** - Universal access via any device & link sharing
2.โก **Speed of Build** - Rapid deployments (< 2min to production)
3.๐ **Linkiness** - Programmatic access to major AI knowledge sources
4.๐ฏ **Abstractive** - Core stays lean by isolating high-maintenance components
5.๐ง **Memory** - Shareable flows with deep-linked research paths
6.๐ค **Personalized** - Rapidly adapts knowledge base to user needs
7.๐ฆ **Living Brevity** - Easily cloneable, self modifies with data and public to shares 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 ๐งช
- Research Gene therapy siRNA ๐ฌ
- Future Programmable genetics ๐
2. Cell Origin
- Current iPSCs organoids ๐ฆ
- Research Synthetic cells ๐ฌ
- Future De novo cell creation ๐
3. Form Function
- Current Bioprinting ๐ซ
- Research 4D printing ๐ฌ
- Future Self assembling structures ๐
4. Homeostasis
- Current Artificial pancreas ๐ค
- Research Nanorobots ๐ฌ
- Future Autonomous regulation ๐
5. Evolution
- Current Directed evolution ๐งซ
- Research Synthetic biology ๐ฌ
- Future Accelerated adaptation ๐
6. Energy Conservation
- Current Biofuel cells โก
- Research Quantum biology ๐ฌ
- Future Biological perpetual motion ๐
7. Cellular Life
- Current Organoid systems ๐ฎ
- Research Hybrid cells ๐ฌ
- Future Silicon based life ๐
8. Inheritance Patterns
- Current Gene drives ๐งฉ
- Research Epigenetic control ๐ฌ
- Future Designed inheritance ๐
9. Energy Requirements
- Current Metabolic engineering ๐
- Research Synthetic photosynthesis ๐ฌ
- Future Zero energy life ๐
10. Random Mutation
- Current Base editing ๐ฏ
- Research Mutation prediction ๐ฌ
- Future Controlled evolution ๐
11. Carbon Based Life
- Current Alternative biochemistry ๐
- Research Silicon biology ๐ฌ
- Future Non carbon life ๐
12. Size Limitations
- Current Nanostructures ๐
- Research Quantum biology ๐ฌ
- Future Scalable organisms ๐
13. Species Interdependence
- Current Synthetic ecosystems ๐ฟ
- Research Artificial symbiosis ๐ฌ
- Future Independent life ๐
14. Stimulus Response
- Current Brain computer interfaces ๐ง
- Research Neural engineering ๐ฌ
- Future Direct consciousness control ๐
15. Development Complexity
- Current Accelerated growth ๐ฑ
- Research Development control ๐ฌ
- Future Instant maturation ๐
16. Population Growth
- Current Population control ๐
- Research Sustainable ecosystems ๐ฌ
- Future Perfect equilibrium ๐
17. Energy Flow
- Current Enhanced photosynthesis ๐
- Research Energy optimization ๐ฌ
- Future Perpetual systems ๐
18. Environmental Adaptation
- Current Climate resistance ๐
- Research Universal adaptation ๐ฌ
- Future Environment independence ๐
19. Genetic Inheritance
- Current Gene editing ๐งฌ
- Research Trait programming ๐ฌ
- Future Perfect inheritance ๐
20. Reproduction
- Current Artificial wombs ๐ถ
- Research Cloning advances ๐ฌ
- Future Asexual human reproduction ๐
21. Aging Death
- Current Longevity therapy โฐ
- Research Age reversal ๐ฌ
- Future Biological immortality ๐
"""
AITopicsToInnovate1="""
1. Major AI Industry Players ๐
1. Research Leaders ๐ฏ
- OpenAI: GPT-4 DALL-E Foundation Models ๐ต
- Google: PaLM Gemini LLMs ๐ฆ
- Anthropic: Claude Constitutional AI โก
- Meta: LLaMA Open Source LLMs ๐ค
- xAI: Grok Conversational AI ๐ค
2. Technical AI Development ๐ ๏ธ
1. Architecture Advances ๐ซ
- Transformer Models Attention Mechanisms ๐ง
- Mixture of Experts MoE Architecture ๐ช
- Sparse Neural Networks ๐ธ๏ธ
- Multi-modal LLM Systems ๐
- Flash Attention Optimization โ๏ธ
2. Training Methodologies ๐
- LLM Supervised Fine-tuning ๐จโ๐ซ
- RLHF Reward Models ๐ค
- Constitutional AI Training ๐
- RLAIF Feedback Models ๐
- Synthetic Data LLM Training ๐ฒ
- Chain of Thought Prompting ๐งฉ
- Tree of Thoughts Reasoning ๐ณ
3. Post-Training Implementation ๐ง
- Neural Network Distillation ๐งช
- LLM Quantization Methods ๐
- Neural Network Pruning โ๏ธ
- Knowledge Distillation Transfer ๐
- Few-shot LLM Learning ๐ฏ
3. Mechanistic Interpretability ๐ฌ
1. Core Concepts ๐ก
- Neural Network Growth Analysis ๐ฑ
- LLM Architecture Analysis ๐๏ธ
- Training Loss Optimization ๐จ
- Neural Network Analogies ๐งฌ
2. Technical Features ๐
- LLM Linear Representations โก๏ธ
- Neural Vector Arithmetic ๐ข
- Neural Activation Patterns ๐
- LLM Feature Detection ๐
- Neural Sparse Autoencoders ๐ญ
3. Network Analysis ๐ต๏ธ
- LLM Induction Heads ๐
- Transformer Attention Analysis ๐ช
- Neural Circuit Analysis ๐
- LLM Feature Visualization ๐
- Neural Concept Directions ๐ณ
4. Future AI Developments ๐
1. AGI Timeline โฐ
- AGI Capability Projections ๐
- Neural Hardware Scaling ๐พ
- LLM Training Data Limits ๐
- AI Compute Resources ๐บ๏ธ
2. Integration Fields ๐ก
- AI Biology Integration ๐ฎ
- AI Drug Discovery Systems ๐
- AI Clinical Trial Analysis ๐ฅ
- AI Code Generation ๐คน
- AI Scientific Discovery ๐งฎ
5. Industry Best Practices ๐
1. AI Team Building ๐ข
- AI Talent Development ๐ฅ
- AI Research Alignment ๐ช
- AI Team Scaling ๐
- AI Research Culture ๐
2. AI Research Qualities ๐
- AI Research Methodology ๐งญ
- AI Experimentation Protocols ๐๏ธ
- AI Innovation Thinking ๐ซ
- AI Testing Framework โ๏ธ
3. AI Safety Standards ๐ก๏ธ
- LLM Behavioral Specifications ๐
- AI Safety Guidelines ๐ฎ
- AI Ethics Framework โ๏ธ
- AI Industry Standards ๐คฒ
6. Emerging Research Areas ๐ฎ
1. Technical Focus ๐ฏ
- LLM Long Context Learning โณ
- LLM Multi-agent Interaction ๐พ
- AI Evaluation Metrics ๐
- Neural Interpretability Methods ๐ญ
2. AI Applications ๐ผ
- AI Automated Research ๐งซ
- AI Code Synthesis โจ๏ธ
- AI Biological Modeling ๐งฏ
- AI Medical Diagnostics ๐
7. Model Intelligence ๐งฟ
1. LLM System Development ๐ช
- LLM Prompt Engineering ๐
- LLM Response Generation โ๏ธ
- LLM Behavioral Training ๐น
- LLM Personality Development ๐ช
2. LLM User Interaction ๐ญ
- LLM Autonomy Alignment ๐ช
- LLM Safety Boundaries ๐
- LLM Communication Patterns ๐ฃ๏ธ
- LLM Performance Tuning ๐ข
"""
Multiplayer_Custom_Hosting_Game_Servers_For_Simulated_Worlds = """
Active Multiplayer Games 2024 ๐ฎ
1 Traditional MMORPGs ๐ก๏ธ
1.1 Major MMORPGs ๐ฐ
- Final Fantasy XIV Dawntrail 2024 โ๏ธ
- Advanced Job System Rework ๐ญ
- Cross Platform Integration ๐ช
- New Housing Districts ๐๏ธ
- World of Warcraft 2024 Season ๐ฒ
- Dragon Combat System ๐ฆ
- Cross Faction Features โ๏ธ
- Mythic Plus Seasons ๐
- Elder Scrolls Online Gold Road ๐๏ธ
- Dynamic Event System ๐
- Housing Construction ๐๏ธ
- Champion System 2.0 ๐
- Lost Ark Western T4 Update โก
- Legion Raid Content ๐พ
- Island Adventure System ๐๏ธ
- Class Balance Rework ๐ฐ
- Black Desert Online Remaster ๐ช
- Combat System Update ๐ฏ
- Node Empire System ๐น
- Life Skill Evolution ๐ณ
1.2 Emerging MMORPGs ๐
- Throne and Liberty Launch ๐
- Weather Combat System ๐ฆ๏ธ
- Territory Wars ๐บ๏ธ
- Transformation System ๐
- Pax Dei Medieval MMO โ๏ธ
- City Management ๐ฐ
- Faith Based Magic โจ
- Global Trading ๐
- Blue Protocol Western Release ๐
- Action Combat Design ๐ญ
- Class Change System โก
- Dungeon Scaling ๐ผ
2 Survival MMOs ๐น
2.1 Established Survival ๐ก๏ธ
- Rust 2024 Updates ๐ฆพ
- Electricity Programming ๐ก
- Vehicle System Update ๐
- Automated Defenses โก
- ARK Survival Ascended ๐ฆ
- Cross ARK System ๐
- Creature Breeding 2.0 ๐ฅ
- Base Defense Network ๐ฐ
- DayZ 2024 Content ๐ง
- Medical System Update ๐
- Disease Mechanics ๐ฆ
- Base Building 2.0 ๐๏ธ
- 7 Days to Die Alpha 22 ๐๏ธ
- Physics Engine Update ๐ฅ
- AI Pathfinding System ๐ง
- Vehicle Customization ๐
2.2 New Survival MMOs ๐
- Once Human Launch ๐งฌ
- Mutation System ๐งช
- Base Building Tech ๐ญ
- Weather Impact System ๐ช๏ธ
- Nightingale Release ๐
- Portal Realm System ๐
- Victorian Crafting ๐ฉ
- Fae World Design ๐ง
3 Hybrid MMOs ๐ฏ
3.1 Looter Shooters ๐ซ
- Destiny 2 2024 Season ๐ธ
- Build System 3.0 ๐ ๏ธ
- Raid Mechanics โญ
- Season Structure ๐
- The Division 2 Year 6 ๐๏ธ
- Loadout Expansion ๐
- Dark Zone Update ๐
- Manhunt System ๐ฏ
- Warframe 2024 Update ๐ค
- Movement Tech 2.0 ๐
- Mod System Rework โ๏ธ
- Open World Expansion ๐
3.2 Action RPG MMOs ๐ซ
- Path of Exile 2 Beta ๐
- Gem System Rework ๐ซ
- New Skill Tree ๐ฒ
- League Content ๐
- Diablo 4 Season Structure ๐
- Season Journey System ๐ญ
- World Boss Events ๐ฒ
- PvP Territories ๐ก๏ธ
4 Simulation MMOs ๐
4.1 Space Simulation ๐
- EVE Online 2024 ๐ธ
- Corporation Warfare ๐ดโโ ๏ธ
- Market System Update ๐
- Fleet Operations ๐ข
- Elite Dangerous Update ๐
- Ground Combat System ๐จโ๐
- Fleet Carrier Content โญ
- Planet Exploration ๐ช
- Star Citizen Alpha ๐ธ
- Persistent Universe ๐
- Ship Combat Update โ๏ธ
- Trading System 2.0 ๐ฐ
4.2 World Simulation ๐
- New World Eternal ๐บ๏ธ
- Territory System ๐ฐ
- Crafting Update ๐ ๏ธ
- War System 2.0 โ๏ธ
- Albion Online 2024 ๐น
- Guild Warfare Update โ๏ธ
- Economy System 2.0 ๐ฐ
- Territory Control ๐ฐ
5 Unique Multiplayer Games ๐ฒ
5.1 Adventure Multiplayer ๐บ๏ธ
- Sea of Thieves 2024 โต
- Ship Combat Physics ๐
- Crew Management ๐ดโโ ๏ธ
- World Events ๐ช
- Valheim Updates โก
- Building System 2.0 ๐๏ธ
- Boss Progression ๐น
- Exploration Update ๐บ๏ธ
5.2 Combat Focused ๐ก๏ธ
- Mordhau 2024 โ๏ธ
- Combat Physics Update ๐คบ
- Map System Rework ๐ฐ
- Tournament System ๐
- For Honor Year 8 ๐ก๏ธ
- Faction War Update โ๏ธ
- Hero Rework System ๐ญ
- Seasonal Content ๐
6 Upcoming 2024 Games ๐ฎ
6.1 Launching Soon ๐
- Gray Zone Warfare ๐๏ธ
- Tactical Systems ๐ฏ
- Base Operations ๐ข
- Territory Control ๐บ๏ธ
- Fractured Online ๐
- City Building ๐๏ธ
- Knowledge System ๐
- Player Economy ๐ฐ
6.2 In Development ๐ ๏ธ
- Ashes of Creation ๐ฐ
- Node System ๐ฑ
- Castle Siege โ๏ธ
- Caravan System ๐ช
- Pantheon Rise of the Fallen ๐
- Climate System ๐ฆ๏ธ
- Group Content Focus ๐ฅ
- Perception System ๐๏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'{get_display_name(filename)}'
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='''
Read It Aloud
๐ Read It Aloud
'''
components.html(documentHTML5, width=1280, height=300)
def display_terms_with_links(terms):
"""Display terms with various search links."""
search_urls = {
"๐๐ArXiv": lambda k: f"/?q={quote(k)}", # Academic/paper theme
"๐ฎGoogle": lambda k: f"https://www.google.com/search?q={quote(k)}", # Crystal ball for search
"๐บYoutube": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}", # TV for videos
"๐ญBing": lambda k: f"https://www.bing.com/search?q={quote(k)}", # Telescope for search
"๐กTruth": lambda k: f"https://truthsocial.com/search?q={quote(k)}", # Light bulb for insight
"๐ฑX": 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
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 = '### ๐ ' + 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('๐Run 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, should_save)
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("๐ 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("๐ View", key=f"view_{idx}"):
st.session_state.selected_file = file
st.session_state.view_mode = 'view'
with col2:
if st.button("โ๏ธ Edit", key=f"edit_{idx}"):
st.session_state.selected_file = file
st.session_state.view_mode = 'edit'
with col3:
if st.button("๐ Rerun", 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("๐๏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("๐ 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("๐ 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 ๐ง ๐ฑ 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()