Update app.py

app.py

@@ -174,19 +174,17 @@ def create_conversational_rag_chain(retriever):
         verbose=False,
     )
 
-    template = """Given the question and context, provide a comprehensive answer in natural language that addresses and answers the question directly.
+    template = """**Given the context (format: dictionary) and question, provide a comprehensive answer in natural language that addresses the question directly.Indicate your confidence level in the answer (high, medium, low).**
 
-    The context contains documents with a 'page_content' field and potentially other metadata. Focus on the 'page_content' field for information retrieval.
+The context contains documents with a 'page_content' field and potentially other metadata. Focus on the 'page_content' field for information retrieval.
 
-    When answering, prioritize including all relevant details from the context to support your response. Avoid yes/no answers or simple options (A, B, etc.). 
+When answering, prioritize including all relevant details from the context to support your response. Avoid yes/no answers or simple options (A, B, etc.).
 
-    In the answer use only English language. DO NOT ASK more questions by yourself!
-    
-    question: {question} 
-
-    context: {context} 
+**In the answer, use only English language. DO NOT ASK more questions by yourself!**
 
-    Answer:
+**Question:** {question}
+**Context:** {context}
+**Answer:**  (confidence level)
     """
     prompt = ChatPromptTemplate.from_template(template, role='ai')