Update app.py

app.py

@@ -450,31 +450,20 @@ def search_glossary(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(query2)    
-    #filename = generate_filename(query2 + ' --- ' + response, "md")
-    #create_file(filename, query, response, should_save)
-    
+    query2 = PromptPrefix + query
+    response = chat_with_model(query2)        
+
     query3 = PromptPrefix2 + query + ' for story outline of method steps: ' + 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)
         
-    query4 = PromptPrefix3 + query + ' using this streamlit python program as a starter program to define features in javascript html5 aframe app.  Create a 3D entity for each variable so they 3d displays them all. ' + response2 # Add prompt preface for coding task behavior
-    # st.write('## ' + query3)
-    st.write('## 🔍 Coding with GPT.')  #  -------------------------------------------------------------------------------------------------
-    response3 = chat_with_model(query3)
-    #filename_txt = generate_filename(query + ' --- ' + response2, "py")
-    #create_file(filename_txt, query, response2, should_save)
+    query4 = PromptPrefix3 + query + ' using this streamlit python programspecification to define features.  Create entities for each variable and generate UI with HTML5 and JS that matches the streamlit program: ' + response2 # Add prompt preface for coding task behavior
+    response3 = chat_with_model(query4)
     
-    all = '# Query: ' + query + '# Response.md: ' + response + '# Response2.py: ' + response2 + '# Response3.html: ' + response3
+    all = query + '   ' + response + '   ' + response2 + '   ' + response3
     
-    filename = generate_filename(query + ' --- ' + all, "md")
+    filename = generate_filename(all, "md")
     create_file(filename, query, all, should_save)
+    
     SpeechSynthesis(all)
     return all