Update app_v1.py

app_v1.py

@@ -13,7 +13,7 @@ from langchain_community.vectorstores import Qdrant
 from langchain_core.runnables import RunnablePassthrough, RunnableParallel
 import chainlit as cl
 from pathlib import Path
-from sentence_transformers import SentenceTransformer  # Ensure you import the SentenceTransformer
+from sentence_transformers import SentenceTransformer  # Ensure this import is correct
 
 load_dotenv()
 
@@ -53,13 +53,13 @@ async def on_chat_start():
 
     sentence_combined_documents = sentence_framework + sentence_blueprint
 
-    # Correctly initialize the SentenceTransformer model
+    # Initialize the SentenceTransformer model properly
     embedding_model = SentenceTransformer('Cheselle/finetuned-arctic-sentence')
 
-    # Create the Qdrant vector store using the embedding model instance
+    # Create the Qdrant vector store using the initialized embedding model
     sentence_vectorstore = Qdrant.from_documents(
         documents=sentence_combined_documents,
-        embedding=embedding_model,  # Ensure this is an instance, not a reference to a function
+        embedding=embedding_model,  # Ensure this is an instance
         location=":memory:",
         collection_name="AI Policy"
     )