Update app.py

app.py

@@ -101,6 +101,7 @@ def get_pred():
 if option == "Information about training data":
     st.header("Stroke Prediction Dataset")
     st.subheader("According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths. This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relavant information about the patient.")
+    st.subheader("Disclaimer: This project is made out of one American hospital data. For this model to be more relevant to predict your health, it has to bee trained on your population data")
     st.subheader(" Stroke dataset has 5110 records and 12 features.")
     st.subheader(" Correlation between features:.")
     st.image(r'Correlation.png')
@@ -111,6 +112,7 @@ if option == "Information about training data":
     
 if option == "Stroke prediction":
     get_pred()
+    st.subheader("Disclaimer: This project is made out of one American hospital data. For this model to be more relevant to predict your health, it has to bee trained on your population data")
 
 if option == "Model information":
     st.header("Light gradient boosting model")