Update app.py

app.py

@@ -95,9 +95,16 @@ 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.markdown("### 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'Shap_Values.png')
+    st.subheader(" Fun fact:")
+    st.markdown(" ## People who have formerly smoked, have the highest stroke risk :.")
+    st.image(r'Correlation.png')
+    st.subheader(" ## Age importance in risk of Stroke:.")
+    st.image(r'Correlation.png')
+    st.markdown(" ## Stroke risk increases from 40 years:.")
+    st.subheader(" ## Correlation between features:.")
     st.image(r'Correlation.png')
     st.subheader("Features Shap values and how it effects Target variable: Stroke")
     st.image(r'Shap_Values.png')
@@ -129,5 +136,5 @@ if option == "Model information":
         st.image(r'Roc_Curve.png')
 
     
-    st.subheader("**Model from 28 stroke cases in a test set, identified bad 1 case**")
-    st.subheader("**Model is trained for a recall, because it's better to send a person to visit other doctor, that's why model identified from 182 pacients with stroke , 154 bad, they didin't have a stroke**")     
+    st.markdown("###Model from 28 stroke cases in a test set, identified bad 1 case**")
+    st.markdown("### Model is trained for a recall, because it's better to send a person to visit other doctor, that's why model identified from 182 pacients with stroke , 154 bad, they didin't have a stroke**")