Update app.py

app.py

@@ -5,23 +5,23 @@ from datetime import datetime
 import joblib
 
 # Load the trained Random Forest model
-rf_model = joblib.load('rf_model.joblib')
+rf_model = joblib.load('rf_model.pkl')
 
 # Load encoders
-le_jobtitle = joblib.load('le_jobtitle.joblib')
-le_location = joblib.load('le_location.joblib')
-le_season = joblib.load('le_season.joblib')
+le_jobtitle = joblib.load('le_jobtitle.pkl')
+le_location = joblib.load('le_location.pkl')
+le_season = joblib.load('le_season.pkl')
 
 # Load scaler
-scaler = joblib.load('scaler.joblib')
+scaler = joblib.load('scaler.pkl')
 
 # Load target encoding mapping for Hospital
-hospital_target_mapping = joblib.load('hospital_target_mapping.joblib')
+hospital_target_mapping = joblib.load('hospital_target_mapping.pkl')
 
 # Load lists for dropdown menus
-job_titles = joblib.load('job_titles.joblib')
-locations = joblib.load('locations.joblib')
-hospitals = joblib.load('hospitals.joblib')
+job_titles = joblib.load('job_titles.pkl')
+locations = joblib.load('locations.pkl')
+hospitals = joblib.load('hospitals.pkl')
 
 # Streamlit app
 st.title('Hourly Pay Rate Prediction')