Update app.py

app.py

@@ -3,8 +3,8 @@ import gradio as gr
 import pandas as pd
 from io import StringIO
 
-def predict_and_download(positive_csv_file, unlabelled_csv_file, n,nu):
-    selected_paper_info = oneclass.select_top_n_papers(n, positive_csv_file, unlabelled_csv_file,nu)
+def predict_and_download(positive_csv_file, unlabelled_csv_file, n,Hyperparameter_nu):
+    selected_paper_info = oneclass.select_top_n_papers(n, positive_csv_file, unlabelled_csv_file,Hyperparameter_nu)
     
     # Create a StringIO object to store CSV data
     csv_buffer = StringIO()