Update app.py

app.py

@@ -9,7 +9,7 @@ from sklearn.preprocessing import StandardScaler, OneHotEncoder
 from sklearn.linear_model import LogisticRegression
 
 # Load the saved full pipeline from the file
-full_pipeline = joblib.load('src\pipe.pkl')
+full_pipeline = joblib.load('pipe.pkl')
 
 # Define the predict function
 def predict(gender, SeniorCitizen, Partner, Dependents, Contract, tenure, MonthlyCharges,