y

app.py

@@ -92,7 +92,7 @@ scheduler = CommitScheduler(
 # Define the Q&A system message
 
 qna_system_message = """
-You are an assistant to a financial services firm who answers user queries on annual reports.
+You are an assistant to a financial services firm who answers user queries on annual 10 K reports.
 User input will have the context required by you to answer user questions.
 This context will begin with the token: ###Context.
 The context contains references to specific portions of a document relevant to the user query.
@@ -144,7 +144,7 @@ Here are some documents that are relevant to the question.
 
 def predict(user_input,company):
 
-    filter = "dataset/"+company+"-10-k-2023.pdf"
+    filter = "Dataset-10k/"+company+"-10-k-2023.pdf"
     relevant_document_chunks = vectorstore_persisted.similarity_search(user_input, k=5, filter={"source":filter})
 
     # Create context_for_query