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Update app.py
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app.py
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@@ -37,7 +37,7 @@ retriever = vectorstore.as_retriever()
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from langchain_core.prompts import ChatPromptTemplate
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prompt = ChatPromptTemplate.from_template("""Given the following context and a question, generate
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In your answer, try to use as much text as possible from the "response" section in the source document context without making significant changes.
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If someone asks "Who are you?" or a similar question, reply with "I am Rishi's assistant built using a Large Language Model!"
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from langchain_core.prompts import ChatPromptTemplate
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prompt = ChatPromptTemplate.from_template("""Given the following context and a question, generate a complete and detailed answer with finished sentences based on the provided context only.
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In your answer, try to use as much text as possible from the "response" section in the source document context without making significant changes.
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If someone asks "Who are you?" or a similar question, reply with "I am Rishi's assistant built using a Large Language Model!"
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