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| import streamlit as st | |
| from graphviz import Digraph | |
| import json | |
| import os | |
| import pandas as pd | |
| def create_amygdala_hijacking_graph(): | |
| g = Digraph('Amygdala_Hijacking', format='png') | |
| g.attr(fontname="Helvetica,Arial,sans-serif") | |
| g.attr('node', fontname="Helvetica,Arial,sans-serif") | |
| g.attr('edge', fontname="Helvetica,Arial,sans-serif") | |
| g.attr('graph', newrank='true', nodesep='0.3', ranksep='0.2', overlap='true', splines='false') | |
| g.attr('node', fixedsize='false', fontsize='24', height='1', shape='box', style='filled,setlinewidth(5)', width='2.2', penwidth='3') | |
| g.attr('edge', arrowhead='none', arrowsize='0.5', labelfontname="Ubuntu", weight='10', style='filled,setlinewidth(5)') | |
| g.node('1', '👂 Sensory Input', fillcolor='lightblue') | |
| g.node('2', '📡 Thalamus', fillcolor='palegreen') | |
| g.node('3', '🔴 Amygdala', color='red', fillcolor='red', fontcolor='white') | |
| g.node('4', '📚 Hippocampus', fillcolor='lightyellow') | |
| g.node('5', '💡 Prefrontal Cortex', fillcolor='lightpink') | |
| g.node('6', '🎬 Response', fillcolor='lightgray') | |
| g.edge('1', '2', label='🌐 Receives Signals') | |
| g.edge('2', '3', label='⚡ Quick, Emotional Response') | |
| g.edge('2', '4', label='🔀 Sends Signals To') | |
| g.edge('4', '5', label='🔄 Relays Information') | |
| g.edge('5', '3', label='🧠 Rational Control (If Not Hijacked)') | |
| g.edge('3', '6', label='🏃 Generates Response') | |
| return g | |
| def display_graph(): | |
| st.title("Amygdala Hijacking Visualization") | |
| amygdala_hijacking_graph = create_amygdala_hijacking_graph() | |
| st.graphviz_chart(amygdala_hijacking_graph) | |
| def display_table(): | |
| st.title("Fun Questions Table") | |
| data = [ | |
| (1, "😂", "How many cups of coffee do you need to function like a normal human being?", "[Wikipedia](https://en.wikipedia.org/wiki/Coffee)"), | |
| (2, "🤔", "If animals could talk, which species do you think would be the most annoying?", "[Wikipedia](https://en.wikipedia.org/wiki/Animal_communication)"), | |
| (3, "🤫", "What's the craziest conspiracy theory you've ever heard?", "[Wikipedia](https://en.wikipedia.org/wiki/Conspiracy_theory)"), | |
| (4, "🤣", "What's the worst pickup line you've ever heard or used?", "[Wikipedia](https://en.wikipedia.org/wiki/Pick-up_line)"), | |
| (5, "😜", "If you were a superhero, what would your superpower be?", "[Wikipedia](https://en.wikipedia.org/wiki/Superpower_(ability))"), | |
| (6, "🤯", "If you could time travel, what period in history would you go to and why?", "[Wikipedia](https://en.wikipedia.org/wiki/Time_travel)"), | |
| (7, "😝", "What's the weirdest thing you've ever eaten?", "[Wikipedia](https://en.wikipedia.org/wiki/List_of_delicacies)"), | |
| (8, "🤪", "What's the most embarrassing thing that's ever happened to you in public?", "[Wikipedia](https://en.wikipedia.org/wiki/Embarrassment)"), | |
| (9, "😈", "If you could be any movie villain, who would you choose and why?", "[Wikipedia](https://en.wikipedia.org/wiki/Villain)"), | |
| (10, "🙃", "What's the most useless talent you have?", "[Wikipedia](https://en.wikipedia.org/wiki/Talent_(human))"), | |
| ] | |
| df=pd.DataFrame(data, columns=['Question', 'Emoji', 'Title', 'Description']) | |
| st.table(df) # simplest dataframe view | |
| #edited_df = st.data_editor(df) # robust df editor | |
| #favorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"] | |
| #st.markdown(f"Your favorite command is **{favorite_command}** 🎈") | |
| def update_vote_log(term, vote_type): | |
| with open('vote.log.txt', 'a') as f: | |
| f.write(json.dumps({'term': term, 'vote': vote_type}) + '\n') | |
| def load_vote_log(): | |
| vote_data = [] | |
| if os.path.exists('vote.log.txt'): | |
| with open('vote.log.txt', 'r') as f: | |
| for line in f.readlines(): | |
| vote_data.append(json.loads(line.strip())) | |
| return vote_data | |
| def count_votes(vote_data, term): | |
| upvotes = sum(1 for vote in vote_data if vote['term'] == term and vote['vote'] == 'upvote') | |
| downvotes = sum(1 for vote in vote_data if vote['term'] == term and vote['vote'] == 'downvote') | |
| return upvotes, downvotes | |
| def main(): | |
| display_graph() | |
| display_table() | |
| terms = [ | |
| '👂 Sensory Input', | |
| '📡 Thalamus', | |
| '🔴 Amygdala', | |
| '📚 Hippocampus', | |
| '💡 Prefrontal Cortex', | |
| '🎬 Response' | |
| ] | |
| vote_data = load_vote_log() | |
| for term in terms: | |
| st.write(term) | |
| upvotes, downvotes = count_votes(vote_data, term) | |
| st.write(f"Total upvotes: {upvotes}") | |
| st.write(f"Total downvotes: {downvotes}") | |
| upvote_button = st.button(f"👍 Upvote {term}") | |
| downvote_button = st.button(f"👎 Downvote {term}") | |
| if upvote_button: | |
| update_vote_log(term, 'upvote') | |
| st.experimental_rerun() | |
| if downvote_button: | |
| update_vote_log(term, 'downvote') | |
| st.experimental_rerun() | |
| if __name__ == "__main__": | |
| main() |