Update app.py

app.py

@@ -5,7 +5,7 @@ import streamlit as st
 model = joblib.load('model_tree.joblib')
 unique_values = {"Sex":['M','F'],"BP":["LOW","NORMAL",'HIGH'],'Cholesterol':["LOW","NORMAL",'HIGH']}
 
-unique_sex = unique_values['Sex'] 
+unique_Sex = unique_values['Sex'] 
 unique_BP = unique_values['BP']
 unique_Cholesterol = unique_values['Cholesterol']
 
@@ -16,7 +16,7 @@ def main():
     with st.form("questionaire"):
         Age = st.slider('Age',min_value=10,max_value=100)
         Na_to_K = st.slider('Na_to_K',min_value=1,max_value=50)
-        sex = st.selectbox('sex',options=unique_sex)
+        Sex = st.selectbox('Sex',options=unique_Sex)
         BP = st.selectbox('BP',options=unique_BP)
         Cholesterol = st.selectbox('Cholesterol',options=unique_Cholesterol)
         
@@ -26,7 +26,7 @@ def main():
         if clicked:
             result=model.predict(pd.DataFrame({"Age": [Age],
                                                "Na_to_K": [Na_to_K],
-                                               "sex": [sex],
+                                               "Sex": [Sex],
                                                "BP": [BP],
                                                "Cholesterol": [Cholesterol]
                                                }))