Update app.py

app.py

@@ -167,36 +167,34 @@ def load_score(key):
         return score_data["score"]
     return 0
 
-
-
 def search_glossary(query):
+    for category, terms in roleplaying_glossary.items():
+        if query.lower() in (term.lower() for term in terms):
+            st.markdown(f"#### {category}")
+            st.write(f"- {query}")
 
-    st.write('## ' + query)
-    
     all=""
+
+    query2 = PromptPrefix + query # Add prompt preface for method step task behavior
+    # st.write('## ' + query2)
     st.write('## 🔍 Running with GPT.')  #  -------------------------------------------------------------------------------------------------
-    response = chat_with_model(query)
-    #st.write(response)
-    
-    filename = generate_filename(query + ' --- ' + response, "md")
+    response = chat_with_model(query2)    
+    filename = generate_filename(query2 + ' --- ' + response, "md")
     create_file(filename, query, response, should_save)
     
-    #st.write('## 🔍 Running with Llama.')  #  -------------------------------------------------------------------------------------------------
-    #response2 = StreamLLMChatResponse(query)
-    #st.write(response2)
-
-    filename_txt = generate_filename(query + ' --- ' + response2, "md")
+    query3 = PromptPrefix2 + query + ' creating streamlit functions that implement outline of method steps below: ' + response # Add prompt preface for coding task behavior
+    # st.write('## ' + query3)
+    st.write('## 🔍 Coding with GPT.')  #  -------------------------------------------------------------------------------------------------
+    response2 = chat_with_model(query3)
+    filename_txt = generate_filename(query + ' --- ' + response2, "py")
     create_file(filename_txt, query, response2, should_save)
-
+    
     all = '# Query: ' + query + '# Response: ' + response + '# Response2: ' + response2
-
     filename_txt2 = generate_filename(query + ' --- ' + all, "md")
     create_file(filename_txt2, query, all, should_save)
-    
     SpeechSynthesis(all)
     return all
     
-    
 # Function to display the glossary in a structured format
 def display_glossary(glossary, area):
     if area in glossary: