diff --git a/level_4/cognitive_architecture/classifiers/classifier.py b/level_4/cognitive_architecture/classifiers/classifier.py
index 1a09cc2c8..570cec7e9 100644
--- a/level_4/cognitive_architecture/classifiers/classifier.py
+++ b/level_4/cognitive_architecture/classifiers/classifier.py
@@ -15,7 +15,7 @@ from langchain.chains import create_extraction_chain
 from langchain.chat_models import ChatOpenAI
 
 from ..config import Config
-
+from ..database.vectordb.loaders.loaders import _document_loader
 config = Config()
 config.load()
 OPENAI_API_KEY = config.openai_key
@@ -24,9 +24,6 @@ from langchain.document_loaders import DirectoryLoader
 
 
 async def classify_documents(query:str, document_id:str, loader_settings:dict):
-    from ..database.vectordb.loaders.loaders import _document_loader
-
-
 
     document_context  = await _document_loader(query, loader_settings)
     logging.info("This is the document context", document_context)
@@ -66,10 +63,6 @@ async def classify_documents(query:str, document_id:str, loader_settings:dict):
     arguments_str = classifier_output.additional_kwargs['function_call']['arguments']
     print("This is the arguments string", arguments_str)
     arguments_dict = json.loads(arguments_str)
-    # classfier_value = arguments_dict.get('summarizer', None)
-
-    # print("This is the classifier value", classfier_value)
-
     return arguments_dict
 
 
diff --git a/level_4/main.py b/level_4/main.py
index bc22c6e44..9302badbd 100644
--- a/level_4/main.py
+++ b/level_4/main.py
@@ -183,9 +183,6 @@ async def load_documents_to_vectorstore(session: AsyncSession, user_id: str, job
             operation_type="DATA_LOAD",
         ),
     )
-
-
-
     memory = await Memory.create_memory(user_id, session, namespace=namespace_id, job_id=job_id, memory_label=namespace_id)
     document_names = get_document_names(loader_settings.get("path", "None"))
     for doc in document_names: