Update app.py

app.py

@@ -25,7 +25,7 @@ st.markdown(
 st.markdown(
     f"""
     <div style="text-align: center;">
-        <p>👋 Welcome to the Employee Attrition Prediction App!</p>
+        <p>Welcome to the Employee Attrition Prediction App! 🚀</p>
     </div>
     """,
     unsafe_allow_html=True
@@ -48,30 +48,17 @@ st.image("https://www.aihr.com/wp-content/uploads/Reasons-for-Employee-Attrition
 
 # Additional Information for Sample Prediction
 st.write("📊 To make a sample prediction, you can refer to the training dataset information available in the sidebar or input the information of the employee whose attrition you want to predict.")
+st.write("Please provide the following information to make a prediction:")
 
 # About Section with Style
 st.sidebar.title("ℹ️ About")
 st.sidebar.info(
     "This app predicts employee attrition using machine learning on HR data, aiding HR professionals in retention strategies. "
-    "It utilizes a machine learning model trained on an employee attrition dataset."
+    "It utilizes a CatBoost machine learning model trained on an employee attrition dataset."
 )
 
 # Define the Streamlit app
 def main():
-    st.title("Employee Attrition Prediction App 🕵️‍♂️")
-    st.sidebar.title("Model Settings ⚙️")
-
-    # Sidebar inputs
-    with st.sidebar.expander("View Unique Values 🔍"):
-        st.write("Unique values for each feature:")
-        for column, values in unique_values.items():
-            st.write(f"- {column}: {values}")
-
-    # Main content
-    st.write("Welcome to the Employee Attrition Prediction App! 🚀")
-    st.write("This app helps HR practitioners predict employee attrition using a trained CatBoost model.")
-    st.write("Please provide the following information to make a prediction:")
-
     # Define layout with three columns
     col1, col2, col3 = st.columns(3)