Update app.py

app.py

@@ -93,7 +93,8 @@ def main():
                        page_icon=":books:")
     st.write(css, unsafe_allow_html=True)
 
-    
+    st.header("Chat with multiple Lithuanian Law Documents: ",
+                       page_icon=":books:")
     
     st.markdown("Available Documents: LR_Civil_Code_2022, LR_Constitution_2022, LR_Criminal_Code_2018, LR_Criminal_Procedure_code_2022,LR_Labour_code_2010. P.S it's a shame that there are no newest documents translations... ")
 
@@ -174,9 +175,7 @@ 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 the confidence level in the answer based on how well it aligns with the information in the context (high, medium, low).**
+    template = """**Given the context (format: dictionary) and question, provide a comprehensive answer in natural language that addresses the question directly.**
 
 The context contains documents with a 'page_content' field and potentially other metadata. Focus on the 'page_content' field for information retrieval.
 
@@ -186,10 +185,7 @@ When answering, prioritize including all relevant details from the context to su
 
 **Question:** {question}
 **Context:** {context}
-**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.")
+Answer:
     """
     prompt = ChatPromptTemplate.from_template(template, role='ai')