no LLM check

app.py

@@ -29,7 +29,7 @@ async def main(message: cl.Message):
         response = _semantic_rag_chain.invoke({"question": message.content})
         content += response["response"].content
     except Exception as e:
-        _logger.error(f"chat error: {e}")
+        print(f"chat error: {e}")
 
     # Send a response back to the user
     await cl.Message(
@@ -39,7 +39,7 @@ async def main(message: cl.Message):
 @cl.on_chat_start
 async def start():
 
-    _logger.info("==> starting ...")
+    print("==> starting ...")
     global _semantic_rag_chain
     # _semantic_rag_chain = SemanticRAGChainFactory.get_semantic_rag_chain()
 
@@ -52,7 +52,7 @@ async def start():
     #     url="https://media.architecturaldigest.com/photos/5f241de2c850b2a36b415024/master/w_1600%2Cc_limit/Luke-logo.png"
     # ).send()
 
-    _logger.info("\tsending message back: ready!!!")
+    print("\tsending message back: ready!!!")
 
     content = ""
     # if _semantic_rag_chain is not None:
@@ -73,4 +73,4 @@ async def start():
     await cl.Message(
         content=content + "\nHow can I help you with Meta's 2023 10K?"
     ).send()
-    _logger.info(f"{20 * '*'}")
+    print(f"{20 * '*'}")

semantic.py

@@ -1,9 +1,7 @@
 import logging
-import shutil
 from pathlib import Path
 
-logging.basicConfig(level=logging.INFO)
-_logger = logging.getLogger("chunking")
+_logger = logging.getLogger("semantic")
 
 from operator import itemgetter
 from langchain_core.prompts import ChatPromptTemplate