Update app.py

app.py

@@ -108,12 +108,12 @@ 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):
 
-    company_filter =  "Dataset-10k/" + company + "-10-k-2023.pdf"
+    company_filter =  "/content/drive/MyDrive/Dataset-10k/Meta-10-k-2023.pdf"
     
     #"./Dataset-10k/"+company+"-10-k-2023.pdf"  
-    #relevant_document_chunks = vectorstore_persisted.similarity_search(user_input, k=5, filter={"source":company_filter})
+    relevant_document_chunks = vectorstore_persisted.similarity_search(user_input, k=5, filter={"source":company_filter})
     
-    relevant_document_chunks = vectorstore_persisted.similarity_search(user_input, k=5)
+    #relevant_document_chunks = vectorstore_persisted.similarity_search(user_input, k=5)
     
     # Create context_for_query
     context_list = [d.page_content + "\n Page number: " + str(d.metadata['page']) + "\n ###Source: " + d.metadata['source'] + "\n\n " for d in relevant_document_chunks]