Update app.py

app.py

@@ -19,7 +19,12 @@ def generate_response(user,prompt):
 
 #Creating the chatbot interface
 st.title("Engineering Expert")
-st.caption("This is a proof of concept to demonstrate our Generative Enterprise Knowledge Navigator Cognitive Architecture. This demo contains 170 PDFs from a leading elevator manufacturer and maintenance company. This volume of information represents the maintenance manuals and product documentation for the doors for one generation of their lifts. The solution to this point provided search results, our challenge was to take this knowledge and provide actionable insights first accompanied by the file and page numbers that the information was sourced from.")
+st.caption("Problem:") 
+st.caption("A major facilities engineering provider with over 40,000 field-based engineers and a large PDF-based knowledge repository of over 100,000 pages of documents faced significant challenges. The existing system used a metadata-driven search, which was highly manual to maintain and inefficient for engineers needing quick access to relevant information. This inefficiency led to delays in field operations and difficulties in maintaining up-to-date knowledge across the organization.
+")
+st.caption("Solution:")
+st.caption("To address this challenge, the engineering provider implemented a Virtual Engineering Assistant powered by Generative AI (GenAI). The solution involved developing an advanced information science strategy that leveraged a vector database and unique memory architectures to improve information retrieval and decision support.")
+
 col1, col2 = st.columns(2)
 # Storing the chat