Update app.py

app.py

@@ -106,6 +106,7 @@ def main():
         # Description of MarkovChainClassifier
         mcclf_description = "The MarkovChainClassifier is a Machine Learning Classifier that utilizes the concept of Markov chains for prediction. Markov chains are mathematical models that represent a system where the future state of the system depends only on its current state, and not on the previous states. The MarkovChainClassifier uses this concept to make predictions by modeling the transition probabilities between different states or categories in the input data. It captures the probabilistic relationships between variables and uses them to classify new data points into one or more predefined categories. The MarkovChainClassifier can be useful in scenarios where the data has a sequential or time-dependent structure, and the relationships between variables can be modeled as Markov chains. It can be applied to various tasks, such as text classification, speech recognition, recommendation systems, and financial forecasting."
         # Display the description in Streamlit app
+        st.header("Model description:")
         st.write(mcclf_description)
         
     elif app_mode == "Generate User Visit History":