Update app.py

app.py

@@ -44,9 +44,13 @@ with app:
         else:
             st.warning("⚠️ Please enter some text to predict.")
 with model_eval:
-    st.header("Model Comparison")
+    st.header("Model Evaluation")
     st.write("Model comparison is essential in machine learning to ensure that the chosen model provides the best possible performance for a given task. Different models have varying strengths and weaknesses depending on the dataset, complexity, and generalization capability.")
 
+    st.write("The Fake News Detection model was trained to classify news as 'FAKE' or 'REAL'. The dataset was taken from Kaggle.")
+    st.write("Dataset by Rajat Kumar: [Kaggle Link](https://www.kaggle.com/datasets/rajatkumar30/fake-news)")
+
+
     # NAIVE BAYES
     st.header("Naive Bayes")
     st.image("naiveBayes.png")