env updated

llm_client.py

@@ -1,7 +1,9 @@
 import os
 from typing import Optional
 from openai import AsyncAzureOpenAI
+from dotenv import load_dotenv
 
+load_dotenv()
 
 class LLMClient:
     def __init__(self):

main_pipeline.py

@@ -32,6 +32,7 @@ async def run_pipeline(user_input: str) -> Dict[str, Any]:
         output_entities = ner.extract_entities(llm_response)
         pseudonymized_output, _ = pseudonymizer.pseudonymize(llm_response, output_entities)
         session_data["pseudonymized_output"] = pseudonymized_output
+        print(pseudonymized_output)
     else:
         session_data["pseudonymized_output"] = None