update

app.py

@@ -4,14 +4,16 @@ import streamlit as st
 import pandas as pd
 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')
-model_name = "v1.0.1"
-stage = "Production"
-model = mlflow.sklearn.load_model(f"models:/{model_name}/{stage}")
+# 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')
+# model_name = "v1.0.1"
+# stage = "Production"
+# model = mlflow.sklearn.load_model(f"models:/{model_name}/{stage}")
+
+model = load_model('model')
 
 @st.cache_data
 def convert_df(df):

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03cf38cb2af04ac82c249b26c660093a014d400c3ae8fbc6b2b650752bd0418a
+size 915543

requirements.txt

@@ -3,5 +3,4 @@ pycaret==3.0.4
 scikit-learn==1.1.3
 scipy==1.10.1
 streamlit==1.25.0
-mlflow==2.2.2
-Requires-Python==3.9
+mlflow==2.2.2