Update app.py

app.py

@@ -174,7 +174,9 @@ def create_conversational_rag_chain(retriever):
         verbose=False,
     )
 
-    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).**
+    template = """**Given the context (format: dictionary) and question, provide a comprehensive answer in natural language that addresses the question directly. 
+
+**Indicate the confidence level in the answer based on how well it aligns with the information in the context (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.
 
@@ -184,7 +186,10 @@ When answering, prioritize including all relevant details from the context to su
 
 **Question:** {question}
 **Context:** {context}
-**Answer:**  (confidence level)
+**Answer:**  (answer)
+
+**Confidence Level:** (high/medium/low) - Briefly explain why this confidence level is assigned based on the context. 
+For example: "High confidence - The answer is directly supported by Article 32 of the LR_Constitution_2022.")
     """
     prompt = ChatPromptTemplate.from_template(template, role='ai')