Update app.py

app.py

@@ -2,6 +2,8 @@ import streamlit as st
 import numpy as np
 import pickle
 import streamlit.components.v1 as components
+from sklearn.preprocessing import LabelEncoder
+le = LabelEncoder()
 
 # Load the pickled model
 def load_model():
@@ -12,6 +14,10 @@ def model_prediction(model, features):
     predicted = str(model.predict(features)[0])
     return predicted
 
+def transform(text):
+    text = le.fit_transform(text)
+    return text[0]
+
 def app_design():
     # Add input fields for High, Open, and Low values
     image = '22.png' #change
@@ -25,10 +31,13 @@ def app_design():
         Sex = 1
     else:
         Sex = 0
-    bmi = st.number_input("bmi")
-    children = st.number_input("children")
-    smoker = st.number_input("smoker")
-    region = st.number_input("region")
+    bmi = st.number_input("BMI")
+    children = st.number_input("Children")
+    smoker = st.text_input("Smoker")
+    smoker = transform(['smoker'])
+    region = st.text_input("Region")
+    region= transform(['region'])
+