Upload app.py

app.py

@@ -90,7 +90,7 @@ def predict(user_input,company):
     }
 
     filter = "dataset/"+company+"-10-k-2023.pdf"
-    relevant_document_chunks = vectorstore_persisted.similarity_search(user_input, k=5, filter={"source":filter})
+    retreiver = vectorstore_persisted.similarity_search(user_input, k=5, filter={"source":filter})
 
     # Create context_for_query
     relevant_document_chunks = retriever.get_relevant_documents(user_question)