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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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st.set_page_config(page_title="๐ง ๐โ๏ธRemixable AI๐จ๐๐จโ๐ซ", page_icon="๐", layout="wide") |
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glossary = { |
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"๐ Vaccinate": ["mRNA vaccines", "Nanoparticle delivery systems", "Universal flu vaccine"], |
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"๐ฉบ Diagnose": ["AI-driven diagnostic tools", "Wearable health monitors", "Liquid biopsies"], |
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"๐ฅ Hospital": ["Telemedicine", "Robot-assisted surgery", "Smart hospitals"], |
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"๐ Emergency": ["Point-of-care testing", "Drone delivery for medical supplies", "Mobile stroke units"], |
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"๐ Meds": ["Precision medicine", "Biologics for chronic diseases", "Pharmacogenomics"], |
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"๐ฉน Bandage": ["Smart bandages", "Biodegradable bandages", "Hydrogel bandages"], |
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"๐งฌ DNA": ["Gene editing (CRISPR-Cas9)", "Gene therapy for inherited diseases", "Synthetic biology"], |
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"๐ฌ Research": ["Big Data in healthcare", "3D bioprinting of tissues", "Nanotechnology in medicine"], |
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"๐ก๏ธ Temperature": ["Wearable temperature monitors", "Infrared thermography", "Microfluidic devices"], |
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"๐ Nutrition": ["Personalized nutrition", "Nutrigenomics", "Functional foods"], |
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} |
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score_dir = "scores" |
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os.makedirs(score_dir, exist_ok=True) |
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def generate_key(label, header, idx): |
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return f"{header}_{label}_{idx}" |
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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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score_data["clicks"] += 1 |
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score_data["score"] += increment |
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with open(score_file, "w") as file: |
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json.dump(score_data, file) |
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return score_data["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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def display_glossary(area): |
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st.subheader(f"Glossary for {area}") |
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terms = glossary[area] |
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for term in terms: |
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st.write(f"- {term}") |
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def display_buttons_with_scores(): |
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headers = ["Inputs", "Outputs", "Health", "Learning", "AI", "Writing"] |
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buttons = [ |
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["๐ Text", "๐ Read", "๐ท Photo", "๐ผ๏ธ View", "๐๏ธ Record", "๐ง Listen", "๐ฅ Video", "๐น Capture"], |
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["๐ฌ Chat", "โ๏ธ Write", "๐จ Art", "๐ Create", "๐ต Music", "๐ถ Compose", "๐ผ Watch", "๐ฟ Movies"], |
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["๐ Vaccinate", "๐ฉบ Diagnose", "๐ฅ Hospital", "๐ Emergency", "๐ Meds", "๐ฉน Bandage", "๐งฌ DNA", "๐ฌ Research", "๐ก๏ธ Temperature", "๐ Nutrition"], |
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["๐ Study", "๐ง Brain", "๐ฉโ๐ Graduate", "๐ Measure", "๐ Search", "๐ Analyze", "๐ Plan", "๐๏ธ Write", "๐จโ๐ซ Teach", "๐งฉ Puzzle"], |
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["๐ค Robot", "๐พ Game", "๐ป Code", "๐งฎ Calculate", "๐ก Connect", "๐ Power", "๐น๏ธ Play", "๐ฅ๏ธ Display", "๐งโ๐ป Develop", "๐จโ๐ฌ Experiment"], |
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["โ๏ธ Author", "๐ Note", "๐๏ธ Pen", "๐๏ธ Sign", "๐ Library", "๐ Bookmark", "๐ Journal", "โ๏ธ Ink", "๐ Scroll"] |
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] |
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cols = st.columns(len(headers)) |
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for idx, (col, header, buttons_list) in enumerate(zip(cols, headers, buttons)): |
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with col: |
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st.markdown(f"### {header}") |
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for button_idx, button_label in enumerate(buttons_list, start=1): |
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key = generate_key(button_label, header, button_idx) |
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score = load_score(key) |
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if st.button(f"{button_label} {score}", key=key): |
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new_score = update_score(key) |
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st.experimental_rerun() |
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cols = st.columns(5) |
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for i, (area, terms) in enumerate(glossary.items()): |
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if cols[i % 5].button(area): |
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display_glossary(area) |
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if __name__ == "__main__": |
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st.markdown('# Remixable!') |
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display_buttons_with_scores() |
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def fetch_wikipedia_summary(keyword): |
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return f"Summary for {keyword}. For more information, visit Wikipedia." |
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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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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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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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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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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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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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keyword = image_file.split('.')[0] |
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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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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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display_images_and_wikipedia_summaries() |
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st.markdown('# ๐ฉบ Remixable AI/UI/UX for Healers by Aaron Wacker') |
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def get_all_query_params(key): |
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return st.query_params().get(key, []) |
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def clear_query_params(): |
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st.query_params() |
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st.markdown("### Query Parameters - These Deep Link Map to Remixable Methods") |
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st.write("Current Query Parameters:", st.query_params) |
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if 'action' in st.query_params: |
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action = st.query_params()['action'][0] |
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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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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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st.write("Enter query parameters in the URL like this: ?action=show_message&multi=1&multi=2") |
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if st.button("Clear Query Parameters"): |
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clear_query_params() |
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st.experimental_rerun() |