Update app.py

app.py

@@ -5,7 +5,7 @@ import pickle
 import numpy as np
 
 # Load model and preprocessing artifacts
-model = joblib.load("ensemble_voting_model.pkl")
+model = joblib.load("ensemble_model.pkl")
 with open("features_to_drop.pkl", "rb") as f:
     features_to_drop = pickle.load(f)
 
@@ -42,7 +42,7 @@ def preprocess_input(row_values):
     return input_df
 
 # Streamlit UI
-st.title("🔍 Intrusion Detection In Networks")
+st.title("🔍 Anomaly Detection In Network Traffic")
 st.markdown("Paste a **single row** of raw features from the dataset (49 values, tab-separated):")
 
 user_input = st.text_area("Input Row", height=150)