Update app.py

app.py

@@ -1,51 +1,73 @@
 import streamlit as st
 from graphviz import Digraph
-
-# The function creates a directed graph with nodes representing different parts of the brain or processes involved in decision-making. The edges denote the flow of information between these nodes.
+import json
+import os
 
 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')
+    # ... (same as before) ...
 
-    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 load_votes():
+    if os.path.exists('votes.json'):
+        with open('votes.json', 'r') as f:
+            return json.load(f)
+    else:
+        return {'upvotes': {}, 'downvotes': {}}
 
+def save_votes(votes):
+    with open('votes.json', 'w') as f:
+        json.dump(votes, f)
 
+def display_votes():
+    votes = load_votes()
+    st.write("Upvotes:")
+    for term, count in votes['upvotes'].items():
+        st.write(f"{term}: {count}")
 
+    st.write("Downvotes:")
+    for term, count in votes['downvotes'].items():
+        st.write(f"{term}: {count}")
 
 def main():
     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)
 
-if __name__ == "__main__":
-    main()
+    terms = [
+        '👂 Sensory Input',
+        '📡 Thalamus',
+        '🔴 Amygdala',
+        '📚 Hippocampus',
+        '💡 Prefrontal Cortex',
+        '🎬 Response'
+    ]
+
+    for term in terms:
+        st.write(term)
+        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()
+
+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.
-""")
+""")