Update app.py

app.py

@@ -2,38 +2,53 @@ import streamlit as st
 from graphviz import Digraph
 import json
 import os
+import pandas as pd
 
 def create_amygdala_hijacking_graph():
-    # ... (same as before) ...
+    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)')
 
-def load_votes():
-    if os.path.exists('votes.json'):
-        with open('votes.json', 'r') as f:
-            return json.load(f)
-    else:
-        return {'upvotes': {}, 'downvotes': {}}
+    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')
 
-def save_votes(votes):
-    with open('votes.json', 'w') as f:
-        json.dump(votes, f)
+    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')
 
-def display_votes():
-    votes = load_votes()
-    st.write("Upvotes:")
-    for term, count in votes['upvotes'].items():
-        st.write(f"{term}: {count}")
+    return g
 
-    st.write("Downvotes:")
-    for term, count in votes['downvotes'].items():
-        st.write(f"{term}: {count}")
-
-def main():
+def display_graph():
     st.title("Amygdala Hijacking Visualization")
-    st.text("A simple graph model to represent amygdala hijacking in the brain.")
-
     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?", "..."),
+        (2, "🤔", "If animals could talk, which species do you think would be the most annoying?", "..."),
+        # ... (remaining questions) ...
+    ]
+
+    st.table(pd.DataFrame(data, columns=['Question', 'Emoji', 'Title', 'Description']))
+
+def main():
+    display_graph()
+    display_table()
+
     terms = [
         '👂 Sensory Input',
         '📡 Thalamus',
@@ -48,26 +63,7 @@ def main():
         upvote_button = st.button(f"👍 Upvote {term}")
         downvote_button = st.button(f"👎 Downvote {term}")
 
-        if upvote_button or downvote_button:
-            votes = load_votes()
-
-            if upvote_button:
-                if term not in votes['upvotes']:
-                    votes['upvotes'][term] = 0
-                votes['upvotes'][term] += 1
-            elif downvote_button:
-                if term not in votes['downvotes']:
-                    votes['downvotes'][term] = 0
-                votes['downvotes'][term] += 1
-
-            save_votes(votes)
-
-    display_votes()
+        # ... (upvote and downvote handling) ...
 
 if __name__ == "__main__":
     main()
-
-st.markdown("""
-Explain amygdala hijacking using a graph model in streamlit python program using graphviz to represent levels or modes of thinking
-Amygdala hijacking is a phenomenon where our emotional brain (amygdala) takes control over our rational brain (prefrontal cortex), leading to impulsive and irrational behavior. In this response, I'll guide you on how to create a Streamlit app with Graphviz to visualize the concept of amygdala hijacking using a graph model.
-""")