Update app.py

app.py

@@ -12,7 +12,7 @@ import gradio as gr
 import re
 
 # Load and preprocess dataset
-dataset = pd.read_csv('/content/email_spam (1).csv', on_bad_lines='skip', engine='python')
+dataset = pd.read_csv('Email_spam_niki.csv', on_bad_lines='skip', engine='python')
 
 # Drop rows where 'spam' or 'text' is NaN and convert 'spam' to numeric
 dataset.dropna(subset=['spam', 'text'], inplace=True)