Upload Index.py

Index.py

@@ -67,7 +67,7 @@ retriever = None
 def initialize_vectorstore():
 
     webpage_loader = WebBaseLoader("https://www.tredence.com/case-studies/tredence-helped-a-global-retailer-providing-holistic-campaign-analytics-by-using-the-power-of-gcp").load()
-    webpage_chunks = _text_splitter.(webpage_loader)
+    webpage_chunks = _text_splitter(webpage_loader)
 
     # store embeddings in vector store
     vectorstore = FAISS.from_documents(webpage_chunks, embedder)