diff --git "a/application/pages/1_\360\237\214\215_Natural_Language_Querying.py" "b/application/pages/1_\360\237\214\215_Natural_Language_Querying.py"
index 688fc7b..f25652a 100644
--- "a/application/pages/1_\360\237\214\215_Natural_Language_Querying.py"
+++ "b/application/pages/1_\360\237\214\215_Natural_Language_Querying.py"
@@ -361,8 +361,8 @@ def main():
                     st.session_state.messages[selected_profile].append(
                         {"role": "assistant", "content": current_nlq_chain.get_generated_sql_explain()})
 
-                    st.markdown('The generated SQL statement is:')
-                    st.code(current_nlq_chain.get_generated_sql(), language="sql")
+                    with st.expander("The generated SQL"):
+                        st.code(current_nlq_chain.get_generated_sql(), language="sql")
 
                     st.markdown('Generation process explanations:')
                     st.markdown(current_nlq_chain.get_generated_sql_explain())
diff --git a/application/utils/llm.py b/application/utils/llm.py
index 30cebe2..87ed638 100644
--- a/application/utils/llm.py
+++ b/application/utils/llm.py
@@ -61,7 +61,7 @@ def invoke_model_claude3(model_id, system_prompt, messages, max_tokens, with_res
         return response_body
 
 
-@logger.catch
+
 def get_sagemaker_client():
     global sagemaker_client
     if not sagemaker_client:
@@ -191,7 +191,7 @@ def claude3_to_sql(ddl, hints, search_box, sql_examples=None, ner_example=None,
         return final_response
 
 
-@logger.catch
+
 def sagemaker_to_explain(endpoint_name: str, sql: str, with_response_stream=False):
     body = json.dumps({"query": generate_sagemaker_explain_prompt(sql),
                         "stream": with_response_stream,})
@@ -204,7 +204,7 @@ def sagemaker_to_explain(endpoint_name: str, sql: str, with_response_stream=Fals
         return response
 
 
-@logger.catch
+
 def sagemaker_to_sql(ddl, hints, search_box, endpoint_name, sql_examples=None, ner_example=None, dialect='mysql',
                    model_provider=None, with_response_stream=False):
     body = json.dumps({"prompt": generate_sagemaker_sql_prompt(ddl, hints, search_box, sql_examples, ner_example,
diff --git a/application/utils/prompts/generate_prompt.py b/application/utils/prompts/generate_prompt.py
index 27c5a37..2f51abb 100644
--- a/application/utils/prompts/generate_prompt.py
+++ b/application/utils/prompts/generate_prompt.py
@@ -142,7 +142,7 @@ def generate_llm_prompt(ddl, hints, search_box, sql_examples=None, ner_example=N
             example_sql_prompt += "A: ```sql\n" + item['_source']['sql'] + "```\n"
 
     if ner_example:
-        for item in sql_examples:
+        for item in ner_example:
             example_ner_prompt += "ner: " + item['_source']['entity'] + "\n"
             example_ner_prompt += "ner info:" + item['_source']['comment'] + "\n"