davidfearne commited on
Commit
34a6b67
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1 Parent(s): c0c1c44

Update app.py

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  1. app.py +2 -4
app.py CHANGED
@@ -19,10 +19,8 @@ def generate_response(user,prompt):
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  #Creating the chatbot interface
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  st.title("Engineering Expert")
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- st.caption("Problem:")
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- 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.")
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- st.caption("Solution:")
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- 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.")
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  col1, col2 = st.columns(2)
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  # Storing the chat
 
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  #Creating the chatbot interface
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  st.title("Engineering Expert")
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+ st.caption("Problem: 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.")
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+ st.caption("Solution: 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.")
 
 
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  col1, col2 = st.columns(2)
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  # Storing the chat