Update app.py

app.py

@@ -6,7 +6,7 @@ from sklearn.model_selection import train_test_split
 from sklearn.neighbors import KNeighborsClassifier
 import gradio as gr
 # Load data
-nexus_bank = pd.read_csv('C:/Users/IT zone computer/Desktop/knn dataset/nexus_bank_dataa.csv')
+nexus_bank = pd.read_csv('C:/Users/IT zone computer/nexus_bank_dataa.csv')
 # Preprocessing
 X = nexus_bank[['salary', 'dependents']]
 y = nexus_bank['defaulter']