Update app.py

app.py

@@ -159,30 +159,6 @@ def display_glossary_grid(roleplaying_glossary):
 
 
 
-def display_buttons_with_scores_old():
-    # Assuming generate_key, load_score, update_score, and search_glossary are defined elsewhere
-    for category, games in roleplaying_glossary.items():
-        st.markdown(f"## {category}")
-        for game, terms in games.items():
-            for term in terms:
-                # Construct a unique key for each term. This replaces the previous use of .index()
-                # The key now includes both the category and the game for uniqueness
-                key = f"{category}_{game}_{term}".replace(' ', '_').lower()
-                score = load_score(key)  # Load the score based on the generated key
-                
-                # Display a button for each term with its score
-                if st.button(f"{term} {score}🚀", key=key):
-                    # If button is pressed, update score and possibly rerun the search or action
-                    update_score(key)
-                    # Adjust the search_glossary call as needed to match the function's signature
-                    #  --------------------------   Call LLMs with the button content:
-                    
-                    response = search_glossary('Create a three-level markdown outline with 3 subpoints each where each line defines and writes out the descriptions with appropriate emojis for the glossary term: ' + term, roleplaying_glossary)
-
-                    
-                    #st.experimental_rerun()
-
-
 game_emojis = {
     "Dungeons and Dragons": "🐉",
     "Call of Cthulhu": "🐙",
@@ -220,7 +196,9 @@ def display_buttons_with_scores():
                     update_score(key)
                     # Create a dynamic query incorporating emojis and formatting for clarity
                     query_prefix = f"{category_emoji} {game_emoji} **{game} - {category}:**"
-                    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 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 and 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, roleplaying_glossary)