Update app.py

app.py

@@ -96,12 +96,12 @@ Here are some documents and their source links that are relevant to the question
 # Define the predict function that runs when 'Submit' is clicked or when a API request is made
 def predict(user_input,company):
 
-    filter = "/content/dataset/"+company+"-10-k-2023.pdf"
-    relevant_document_chunks = vectorstore_persisted.similarity_search(user_input, k=5, filter={"source":filter})
+    filter_company = "/content/dataset/"+company+"-10-k-2023.pdf"
+    #relevant_document_chunks = vectorstore_persisted.similarity_search(user_input, k=5, filter={"source":filter_company})
 
     # Create context_for_query
     user_input = user_input
-    relevant_document_chunks = vectorstore_persisted.similarity_search(user_input,k=5,filter={"source":company})
+    relevant_document_chunks = vectorstore_persisted.similarity_search(user_input,k=5,filter={"source":filter_company})
     context_list = [d.page_content for d in relevant_document_chunks]
     context_for_query = ". ".join(context_list)