import streamlit as st import os import json from PIL import Image # Set page configuration with a title and favicon st.set_page_config(page_title="🌌🚀 Transhuman Space Encyclopedia", page_icon="🌠", layout="wide") # Ensure the directory for storing scores exists score_dir = "scores" os.makedirs(score_dir, exist_ok=True) # Function to generate a unique key for each button, including an emoji def generate_key(label, header, idx): return f"{header}_{label}_{idx}_key" # Function to increment and save score def update_score(key, increment=1): score_file = os.path.join(score_dir, f"{key}.json") if os.path.exists(score_file): with open(score_file, "r") as file: score_data = json.load(file) else: score_data = {"clicks": 0, "score": 0} score_data["clicks"] += 1 score_data["score"] += increment with open(score_file, "w") as file: json.dump(score_data, file) return score_data["score"] # Function to load score def load_score(key): score_file = os.path.join(score_dir, f"{key}.json") if os.path.exists(score_file): with open(score_file, "r") as file: score_data = json.load(file) return score_data["score"] return 0 # Transhuman Space glossary with full content transhuman_glossary = { "🚀 Core Technologies": ["Nanotechnology🔬", "Artificial Intelligence🤖", "Quantum Computing💻", "Spacecraft Engineering🛸", "Biotechnology🧬", "Cybernetics🦾", "Virtual Reality🕶️", "Energy Systems⚡", "Material Science🧪", "Communication Technologies📡"], "🌐 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👽"], "💡 Memes": ["Post-Humanism🚶‍♂️➡️🚀", "Neo-Evolutionism🧬📈", "Digital Ascendancy💾👑", "Solar System Nationalism🌞🏛", "Space Explorationism🚀🛰", "Cyber Democracy🖥️🗳️", "Interstellar Environmentalism🌍💚", "Quantum Mysticism🔮💫", "Techno-Anarchism🔌🏴", "Cosmic Preservationism🌌🛡️"], "🏛 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🌍🛡"], "🔗 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🦿📢"], "⚔️ 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🤖⚔️"], "🎖 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🦾🚶‍♂️"], "🦹 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🔬🦠"], "👽 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🛰️💥"], } # Function to search glossary and display results def search_glossary(query): for category, terms in transhuman_glossary.items(): if query.lower() in (term.lower() for term in terms): st.markdown(f"### {category}") st.write(f"- {query}") # Display instructions and handle query parameters st.markdown("## Glossary Lookup\nEnter a term in the URL query, like `?q=Nanotechnology` or `?query=Martian Syndicate`.") query_params = st.query_params query = (query_params.get('q') or query_params.get('query') or [''])[0] if query: search_glossary(query) # Display the glossary with Streamlit components, ensuring emojis are used def display_glossary(area): st.subheader(f"📘 Glossary for {area}") terms = transhuman_glossary[area] for idx, term in enumerate(terms, start=1): st.write(f"{idx}. {term}") # Function to display glossary in a 3x3 grid def display_glossary_grid(glossary): # Group related categories for a 3x3 grid groupings = [ ["🚀 Core Technologies", "🌐 Nations", "💡 Memes"], ["🏛 Institutions", "🔗 Organizations", "⚔️ War"], ["🎖 Military", "🦹 Outlaws", "👽 Terrorists"], ] for group in groupings: cols = st.columns(3) # Create three columns for idx, category in enumerate(group): with cols[idx]: st.markdown(f"### {category}") terms = glossary[category] for term in terms: st.write(f"- {term}") # Display the glossary grid st.title("Transhuman Space Glossary 🌌") display_glossary_grid(transhuman_glossary) # Streamlined UI for displaying buttons with scores, integrating emojis def display_buttons_with_scores(): for header, terms in transhuman_glossary.items(): st.markdown(f"## {header}") for term in terms: key = generate_key(term, header, terms.index(term)) score = load_score(key) if st.button(f"{term} {score}🚀", key=key): update_score(key) st.experimental_rerun() if __name__ == "__main__": st.title("🌌🚀 Transhuman Space Encyclopedia") st.markdown("## Explore the universe of Transhuman Space through interactive storytelling and encyclopedic knowledge.🌠") display_buttons_with_scores() def fetch_wikipedia_summary(keyword): # Placeholder function for fetching Wikipedia summaries # In a real app, you might use requests to fetch from the Wikipedia API return f"Summary for {keyword}. For more information, visit Wikipedia." def create_search_url_youtube(keyword): base_url = "https://www.youtube.com/results?search_query=" return base_url + keyword.replace(' ', '+') def create_search_url_bing(keyword): base_url = "https://www.bing.com/search?q=" return base_url + keyword.replace(' ', '+') def create_search_url_wikipedia(keyword): base_url = "https://www.wikipedia.org/search-redirect.php?family=wikipedia&language=en&search=" return base_url + keyword.replace(' ', '+') def create_search_url_google(keyword): base_url = "https://www.google.com/search?q=" return base_url + keyword.replace(' ', '+') def display_images_and_wikipedia_summaries(): st.title('Gallery with Related Stories') image_files = [f for f in os.listdir('.') if f.endswith('.png')] if not image_files: st.write("No PNG images found in the current directory.") return for image_file in image_files: image = Image.open(image_file) st.image(image, caption=image_file, use_column_width=True) keyword = image_file.split('.')[0] # Assumes keyword is the file name without extension # Display Wikipedia and Google search links wikipedia_url = create_search_url_wikipedia(keyword) google_url = create_search_url_google(keyword) youtube_url = create_search_url_youtube(keyword) bing_url = create_search_url_bing(keyword) links_md = f""" [Wikipedia]({wikipedia_url}) | [Google]({google_url}) | [YouTube]({youtube_url}) | [Bing]({bing_url}) """ st.markdown(links_md) display_images_and_wikipedia_summaries() def get_all_query_params(key): return st.query_params().get(key, []) def clear_query_params(): st.query_params() # Assuming the transhuman_glossary and other setup code remains the same # Function to display content or image based on a query def display_content_or_image(query): # Check if the query matches any glossary term for category, terms in transhuman_glossary.items(): for term in terms: if query.lower() in term.lower(): st.subheader(f"Found in {category}:") st.write(term) return True # Return after finding and displaying the first match # Check for an image match in a predefined directory (adjust path as needed) image_dir = "images" # Example directory where images are stored image_path = f"{image_dir}/{query}.png" # Construct image path with query if os.path.exists(image_path): st.image(image_path, caption=f"Image for {query}") return True # If no content or image is found st.warning("No matching content or image found.") return False st.write("Current Query Parameters:", st.query_params) st.markdown("### Query Parameters - These Deep Link Map to Remixable Methods, Navigate or Trigger Functionalities") # Example: Using query parameters to navigate or trigger functionalities if 'action' in st.query_params: action = st.query_params()['action'][0] # Get the first (or only) 'action' parameter if action == 'show_message': st.success("Showing a message because 'action=show_message' was found in the URL.") elif action == 'clear': clear_query_params() st.experimental_rerun() # Handling repeated keys if 'multi' in st.query_params: multi_values = get_all_query_params('multi') st.write("Values for 'multi':", multi_values) # Manual entry for demonstration st.write("Enter query parameters in the URL like this: ?action=show_message&multi=1&multi=2") if 'query' in st.query_params: query = st.query_params['query'][0] # Get the query parameter # Display content or image based on the query display_content_or_image(query) # Add a clear query parameters button for convenience if st.button("Clear Query Parameters", key='ClearQueryParams'): # This will clear the browser URL's query parameters st.experimental_set_query_params st.experimental_rerun()