Update app.py

app.py

@@ -172,11 +172,19 @@ def display_buttons_with_scores():
         for term in terms:
             key = generate_key(term, header, terms.index(term))
             score = load_score(key)
-            if st.button(f"{term} {score}🚀", key=key):
+            #if st.button(f"{term} {score}🚀", key=key):
+            #    update_score(key)
+            #    search_glossary('Create a three level markdown outline with 3 subpoints each where each line defines and writes out the core technology descriptions with appropriate emojis for the glossary term: ' + term)
+            #    st.experimental_rerun()
+            if st.button(f"{term} {score}", key=key):
                 update_score(key)
-                search_glossary('Create a three level markdown outline with 3 subpoints each where each line defines and writes out the core technology descriptions with appropriate emojis for the glossary term: ' + term)
-                st.experimental_rerun()
-
+                # Create a dynamic query incorporating emojis and formatting for clarity
+                query_prefix = f"{key}  **{term}:**"
+                # -----------------------------------------------------------------
+                # query_body = f"Create a detailed outline for **{term}** with subpoints highlighting key aspects, using emojis for visual engagement. Include step-by-step rules and boldface important entities and ruleset elements."
+                query_body = f"Create a streamlit python app.py that produces a detailed markdown outline including appropriate emojis for functions and a CSV dataset user interface with an outline for **{term}** with subpoints highlighting key aspects, using emojis for visual engagement. Include step-by-step rules and boldface important entities and ruleset elements."
+                response = search_glossary(query_prefix + query_body)
+                
 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