Update app.py

app.py

@@ -72,20 +72,30 @@ def search_glossary(query):
             st.markdown(f"#### {category}")
             st.write(f"- {query}")
 
-    st.write('## Processing query against GPT and Llama:')
-    # ------------------------------------------------------------------------------------------------
-    st.write('Reasoning with your inputs using GPT...')
+    st.write('## ' + query)
+    
+    all=""
+    st.write('## 🔍 Running with GPT.')  #  -------------------------------------------------------------------------------------------------
     response = chat_with_model(query)
-    st.write('Response:')
-    st.write(response)
-    filename = generate_filename(response, "txt")
+    #st.write(response)
+    
+    filename = generate_filename(query + ' --- ' + response, "md")
     create_file(filename, query, response, should_save)
     
-    st.write('Reasoning with your inputs using Llama...')    
-    response = StreamLLMChatResponse(query)
-    filename_txt = generate_filename(query, "md")
-    create_file(filename_txt, query, response, should_save)
-    # ------------------------------------------------------------------------------------------------
+    st.write('## 🔍 Running with Llama.')  #  -------------------------------------------------------------------------------------------------
+    response2 = StreamLLMChatResponse(query)
+    #st.write(response2)
+
+    filename_txt = generate_filename(query + ' --- ' + response2, "md")
+    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
 
 # Display the glossary with Streamlit components, ensuring emojis are used
 def display_glossary(area):