Update app.py

app.py

@@ -1,3 +1,4 @@
+import pickle
 import pandas as pd
 import shap
 import gradio as gr
@@ -85,8 +86,10 @@ title = "**Mod 3 Team 5: Employee Turnover Predictor & Interpreter**"
 description1 = """
 This app evaluates six key factors affecting employee satisfaction—Supportive GM, Merit, Learning & Development, Work Environment, Engagement, and Well-Being—to predict whether an employee is likely to stay with Hilton or leave.
 The app provides two key outputs:
+
 **Predicted Probability**  
 A likelihood score indicating whether an employee will stay or leave.
+
 **SHAP Force Plot**  
 A dynamic visualization that illustrates how each factor influences the prediction, helping to pinpoint the most impactful drivers of employee retention.
 Designed for HR teams at both departmental and hotel chain levels, this tool delivers data-driven insights to improve employee experience and retention strategies across Hilton properties.