Update app.py

app.py

@@ -85,7 +85,10 @@ with app:
 
 # ---------------- MODEL EVALUATION TAB ---------------- #
 with model_eval:
-    st.header("📊 Model Performance Metrics")
+    st.header("Model Evaluation")
+    st.write("The Anomaly Detection model was trained to classify bank transactions as 'Anomalous' or 'Normal'. The dataset was taken from Kaggle.")
+    st.write("Dataset by Vala Khorasani : [Kaggle Link](https://www.kaggle.com/datasets/valakhorasani/bank-transaction-dataset-for-fraud-detection)")
+
     
     # Sidebar to choose which model's evaluation to display
     eval_model_choice = st.sidebar.radio("Select Model for Evaluation", ["Isolation Forest", "One-Class SVM", "Local Outlier Factor"])