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Delete Backup-GrunddleFly.py

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  1. Backup-GrunddleFly.py +0 -239
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- import streamlit as st
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- import os
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- import json
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- from PIL import Image
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-
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- # Set page configuration with a title and favicon
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- st.set_page_config(page_title="🌌🚀 Transhuman Space Encyclopedia", page_icon="🌠", layout="wide")
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-
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- # Ensure the directory for storing scores exists
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- score_dir = "scores"
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- os.makedirs(score_dir, exist_ok=True)
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-
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- # Function to generate a unique key for each button, including an emoji
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- def generate_key(label, header, idx):
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- return f"{header}_{label}_{idx}_key"
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-
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- # Function to increment and save score
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- def update_score(key, increment=1):
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- score_file = os.path.join(score_dir, f"{key}.json")
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- if os.path.exists(score_file):
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- with open(score_file, "r") as file:
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- score_data = json.load(file)
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- else:
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- score_data = {"clicks": 0, "score": 0}
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-
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- score_data["clicks"] += 1
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- score_data["score"] += increment
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-
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- with open(score_file, "w") as file:
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- json.dump(score_data, file)
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-
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- return score_data["score"]
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-
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- # Function to load score
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- def load_score(key):
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- score_file = os.path.join(score_dir, f"{key}.json")
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- if os.path.exists(score_file):
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- with open(score_file, "r") as file:
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- score_data = json.load(file)
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- return score_data["score"]
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- return 0
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-
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- # Transhuman Space glossary with full content
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- transhuman_glossary = {
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- "🚀 Core Technologies": ["Nanotechnology🔬", "Artificial Intelligence🤖", "Quantum Computing💻", "Spacecraft Engineering🛸", "Biotechnology🧬", "Cybernetics🦾", "Virtual Reality🕶️", "Energy Systems⚡", "Material Science🧪", "Communication Technologies📡"],
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- "🌐 Nations": ["Terran Federation🌍", "Martian Syndicate🔴", "Jovian Republics🪐", "Asteroid Belt Communities🌌", "Venusian Colonies🌋", "Lunar States🌖", "Outer System Alliances✨", "Digital Consciousness Collectives🧠", "Transhumanist Enclaves🦿", "Non-Human Intelligence Tribes👽"],
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- "💡 Memes": ["Post-Humanism🚶‍♂️➡️🚀", "Neo-Evolutionism🧬📈", "Digital Ascendancy💾👑", "Solar System Nationalism🌞🏛", "Space Explorationism🚀🛰", "Cyber Democracy🖥️🗳️", "Interstellar Environmentalism🌍💚", "Quantum Mysticism🔮💫", "Techno-Anarchism🔌🏴", "Cosmic Preservationism🌌🛡️"],
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- "🏛 Institutions": ["Interstellar Council🪖", "Transhuman Ethical Standards Organization📜", "Galactic Trade Union🤝", "Space Habitat Authority🏠", "Artificial Intelligence Safety Commission🤖🔒", "Extraterrestrial Relations Board👽🤝", "Quantum Research Institute🔬", "Biogenetics Oversight Committee🧫", "Cyberspace Regulatory Agency💻", "Planetary Defense Coalition🌍🛡"],
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- "🔗 Organizations": ["Neural Network Pioneers🧠🌐", "Spacecraft Innovators Guild🚀🛠", "Quantum Computing Consortium💻🔗", "Interplanetary Miners Union⛏️🪐", "Cybernetic Augmentation Advocates🦾❤️", "Biotechnological Harmony Group🧬🕊", "Stellar Navigation Circle🧭✨", "Virtual Reality Creators Syndicate🕶️🎨", "Renewable Energy Pioneers⚡🌱", "Transhuman Rights Activists🦿📢"],
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- "⚔️ War": ["Space Warfare Tactics🚀⚔️", "Cyber Warfare🖥️🔒", "Biological Warfare🧬💣", "Nanotech Warfare🔬⚔️", "Psychological Operations🧠🗣️", "Quantum Encryption & Decryption🔐💻", "Kinetic Bombardment🚀💥", "Energy Shield Defense🛡️⚡", "Stealth Spacecraft🚀🔇", "Artificial Intelligence Combat🤖⚔️"],
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- "🎖 Military": ["Interstellar Navy🚀🎖", "Planetary Guard🌍🛡", "Cybernetic Marines🦾🔫", "Nanotech Soldiers🔬💂", "Space Drone Fleet🛸🤖", "Quantum Signal Corps💻📡", "Special Operations Forces👥⚔️", "Artificial Intelligence Strategists🤖🗺️", "Orbital Defense Systems🌌🛡️", "Exoskeleton Brigades🦾🚶‍♂️"],
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- "🦹 Outlaws": ["Pirate Fleets🏴‍☠️🚀", "Hacktivist Collectives💻🚫", "Smuggler Caravans🛸💼", "Rebel AI Entities🤖🚩", "Black Market Biotech Dealers🧬💰", "Quantum Thieves💻🕵️‍♂️", "Space Nomad Raiders🚀🏴‍☠️", "Cyberspace Intruders💻👾", "Anti-Transhumanist Factions🚫🦾", "Rogue Nanotech Swarms🔬🦠"],
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- "👽 Terrorists": ["Bioengineered Virus Spreaders🧬💉", "Nanotechnology Saboteurs🔬🧨", "Cyber Terrorist Networks💻🔥", "Rogue AI Sects🤖🛑", "Space Anarchist Cells🚀Ⓐ", "Quantum Data Hijackers💻🔓", "Environmental Extremists🌍💣", "Technological Singularity Cults🤖🙏", "Interspecies Supremacists👽👑", "Orbital Bombardment Threats🛰️💥"],
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- }
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-
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-
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- # Function to search glossary and display results
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- def search_glossary(query):
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- for category, terms in transhuman_glossary.items():
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- if query.lower() in (term.lower() for term in terms):
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- st.markdown(f"### {category}")
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- st.write(f"- {query}")
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-
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- # Display instructions and handle query parameters
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- st.markdown("## Glossary Lookup\nEnter a term in the URL query, like `?q=Nanotechnology` or `?query=Martian Syndicate`.")
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- query_params = st.query_params
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- query = (query_params.get('q') or query_params.get('query') or [''])[0]
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- if query: search_glossary(query)
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-
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-
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-
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- # Display the glossary with Streamlit components, ensuring emojis are used
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- def display_glossary(area):
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- st.subheader(f"📘 Glossary for {area}")
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- terms = transhuman_glossary[area]
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- for idx, term in enumerate(terms, start=1):
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- st.write(f"{idx}. {term}")
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-
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-
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- # Function to display glossary in a 3x3 grid
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- def display_glossary_grid(glossary):
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- # Group related categories for a 3x3 grid
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- groupings = [
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- ["🚀 Core Technologies", "🌐 Nations", "💡 Memes"],
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- ["🏛 Institutions", "🔗 Organizations", "⚔️ War"],
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- ["🎖 Military", "🦹 Outlaws", "👽 Terrorists"],
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- ]
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-
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- for group in groupings:
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- cols = st.columns(3) # Create three columns
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- for idx, category in enumerate(group):
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- with cols[idx]:
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- st.markdown(f"### {category}")
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- terms = glossary[category]
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- for term in terms:
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- st.write(f"- {term}")
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-
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- # Display the glossary grid
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- st.title("Transhuman Space Glossary 🌌")
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- display_glossary_grid(transhuman_glossary)
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-
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- # Streamlined UI for displaying buttons with scores, integrating emojis
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- def display_buttons_with_scores():
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- for header, terms in transhuman_glossary.items():
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- st.markdown(f"## {header}")
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- for term in terms:
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- key = generate_key(term, header, terms.index(term))
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- score = load_score(key)
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- if st.button(f"{term} {score}🚀", key=key):
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- update_score(key)
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- st.experimental_rerun()
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-
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- if __name__ == "__main__":
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- st.title("🌌🚀 Transhuman Space Encyclopedia")
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- st.markdown("## Explore the universe of Transhuman Space through interactive storytelling and encyclopedic knowledge.🌠")
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- display_buttons_with_scores()
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-
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-
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-
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-
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-
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-
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- def fetch_wikipedia_summary(keyword):
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- # Placeholder function for fetching Wikipedia summaries
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- # In a real app, you might use requests to fetch from the Wikipedia API
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- return f"Summary for {keyword}. For more information, visit Wikipedia."
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-
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- def create_search_url_youtube(keyword):
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- base_url = "https://www.youtube.com/results?search_query="
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- return base_url + keyword.replace(' ', '+')
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-
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- def create_search_url_bing(keyword):
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- base_url = "https://www.bing.com/search?q="
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- return base_url + keyword.replace(' ', '+')
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-
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- def create_search_url_wikipedia(keyword):
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- base_url = "https://www.wikipedia.org/search-redirect.php?family=wikipedia&language=en&search="
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- return base_url + keyword.replace(' ', '+')
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-
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- def create_search_url_google(keyword):
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- base_url = "https://www.google.com/search?q="
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- return base_url + keyword.replace(' ', '+')
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-
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-
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- def display_images_and_wikipedia_summaries():
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- st.title('Gallery with Related Stories')
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- image_files = [f for f in os.listdir('.') if f.endswith('.png')]
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- if not image_files:
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- st.write("No PNG images found in the current directory.")
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- return
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-
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- for image_file in image_files:
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- image = Image.open(image_file)
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- st.image(image, caption=image_file, use_column_width=True)
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-
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- keyword = image_file.split('.')[0] # Assumes keyword is the file name without extension
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-
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- # Display Wikipedia and Google search links
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- wikipedia_url = create_search_url_wikipedia(keyword)
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- google_url = create_search_url_google(keyword)
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- youtube_url = create_search_url_youtube(keyword)
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- bing_url = create_search_url_bing(keyword)
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-
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- links_md = f"""
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- [Wikipedia]({wikipedia_url}) |
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- [Google]({google_url}) |
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- [YouTube]({youtube_url}) |
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- [Bing]({bing_url})
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- """
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- st.markdown(links_md)
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-
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- display_images_and_wikipedia_summaries()
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-
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- def get_all_query_params(key):
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- return st.query_params().get(key, [])
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-
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- def clear_query_params():
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- st.query_params()
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-
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- # Assuming the transhuman_glossary and other setup code remains the same
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-
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- # Function to display content or image based on a query
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- def display_content_or_image(query):
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- # Check if the query matches any glossary term
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- for category, terms in transhuman_glossary.items():
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- for term in terms:
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- if query.lower() in term.lower():
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- st.subheader(f"Found in {category}:")
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- st.write(term)
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- return True # Return after finding and displaying the first match
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-
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- # Check for an image match in a predefined directory (adjust path as needed)
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- image_dir = "images" # Example directory where images are stored
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- image_path = f"{image_dir}/{query}.png" # Construct image path with query
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- if os.path.exists(image_path):
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- st.image(image_path, caption=f"Image for {query}")
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- return True
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-
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- # If no content or image is found
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- st.warning("No matching content or image found.")
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- return False
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-
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-
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-
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-
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- st.write("Current Query Parameters:", st.query_params)
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- st.markdown("### Query Parameters - These Deep Link Map to Remixable Methods, Navigate or Trigger Functionalities")
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-
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- # Example: Using query parameters to navigate or trigger functionalities
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- if 'action' in st.query_params:
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- action = st.query_params()['action'][0] # Get the first (or only) 'action' parameter
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- if action == 'show_message':
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- st.success("Showing a message because 'action=show_message' was found in the URL.")
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- elif action == 'clear':
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- clear_query_params()
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- st.experimental_rerun()
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-
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- # Handling repeated keys
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- if 'multi' in st.query_params:
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- multi_values = get_all_query_params('multi')
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- st.write("Values for 'multi':", multi_values)
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-
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- # Manual entry for demonstration
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- st.write("Enter query parameters in the URL like this: ?action=show_message&multi=1&multi=2")
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-
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-
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-
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-
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- if 'query' in st.query_params:
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- query = st.query_params['query'][0] # Get the query parameter
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- # Display content or image based on the query
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- display_content_or_image(query)
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-
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- # Add a clear query parameters button for convenience
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- if st.button("Clear Query Parameters", key='ClearQueryParams'):
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- # This will clear the browser URL's query parameters
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- st.experimental_set_query_params
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- st.experimental_rerun()
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-