Update app.py

app.py

@@ -1,4 +1,7 @@
 import os
+from dotenv import load_dotenv
+from pathlib import Path
+
 import mlflow 
 import streamlit as st
 import pandas as pd
@@ -7,8 +10,11 @@ from pycaret.classification import *
 # os.environ['MLFLOW_TRACKING_USERNAME'] = 'fandanabil1379'
 # os.environ['MLFLOW_TRACKING_PASSWORD'] = 'dadc32f6246f307c2fe4928f3074068f628b79ba'
 
-# # load model
-mlflow.set_tracking_uri('https://dagshub.com/fandanabil1379/loan_prediction.mlflow')
+dotenv_path = Path('.env')
+load_dotenv(dotenv_path=dotenv_path)
+
+# load model
+# mlflow.set_tracking_uri('https://dagshub.com/fandanabil1379/loan_prediction.mlflow')
 model_name = "v1.0.1"
 stage = "Production"
 model = mlflow.sklearn.load_model(f"models:/{model_name}/{stage}")