Update app.py

app.py

@@ -136,7 +136,7 @@ def prompt_engineer(text, longtext, query):
     
     with st.sidebar:
         st.divider()
-        st.markdown("*:red[Text Summary Generation]* from above Top 5 **:green[similarity search results]**.")
+        # st.markdown("*:red[Text Summary Generation]* from above Top 5 **:green[similarity search results]**.")
 
 
     GENERATION_PROMPT_TEMPLATE = """
@@ -164,9 +164,9 @@ def prompt_engineer(text, longtext, query):
             repo_id="meta-llama/Meta-Llama-3-8B-Instruct", model_kwargs={"temperature": 0.1, "max_new_tokens": 256, "task":"text-generation"}
         )
         st.write("GEN llm connection started..")
-        summary = llm.invoke(summary_prompt)
-        st.write(summary)
-        st.divider()
+        # summary = llm.invoke(summary_prompt)
+        # st.write(summary)
+        # st.divider()
         response_text = llm.invoke(prompt)
         escaped_query = re.escape(query)
         result = re.split(f'Answer the question based on the above context: {escaped_query}\n',response_text)[-1]