Update app.py

app.py

@@ -6,14 +6,14 @@ from langchain.chains import RetrievalQA
 from langchain_community.vectorstores import FAISS  # ✅ FIXED IMPORT
 from langchain.embeddings import SentenceTransformerEmbeddings
 from langchain.llms import OpenAI
-
+import os
 # Initialize ChromaDB for Retrieval-Augmented Generation (RAG)
 chroma_client = chromadb.PersistentClient(path="./chroma_db")
 embedding_model = SentenceTransformerEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
 
 # Load the RAG-based Retrieval System
-import os
-print(os.listdir("faiss_index"))
+
+os.listdir("faiss_index")
 
 vectorstore = FAISS.load_local("faiss_index", embedding_model)
 retriever = vectorstore.as_retriever()