Update app.py

app.py

@@ -2,7 +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():
     return pickle.load(open('Student_Marks_LinearRegresssionnew.pkl', 'rb')) #change
@@ -12,32 +13,55 @@ 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 = '38.png' #change
+    image = '37.png' #change
     st.image(image, use_column_width=True)
     
     st.subheader("Enter the following values:") #change
-
+    
     school= st.number_input("school")
+    school = le.fit_transform([school])
     sex= st.number_input("sex")
+    sex = le.fit_transform([sex])
     age= st.number_input("age")
+    age = le.fit_transform([age])
     famsize= st.number_input("famsize")
+    famsize = le.fit_transform([famsize])
     Pstatus= st.number_input("Pstatus")
+    Pstatus = le.fit_transform([Pstatus])
     Medu= st.number_input("Medu")
     Fedu= st.number_input("Fedu")
     Mjob= st.number_input("Mjob")
+    Mjob = le.fit_transform(Mjob)
     Fjob= st.number_input("Fjob")
+    Fjob = le.fit_transform([Fjob])
     reason = st.number_input("reason")
+    reason = le.fit_transform([reason])
     guardian= st.number_input("guardian")
+    guardian = le.fit_transform([guardian])
     traveltime= st.number_input("traveltime")
     studytime= st.number_input("studytime")
     failures= st.number_input("failures")
     schoolsup= st.number_input("schoolsup")
+    schoolsup = le.fit_transform([schoolsup])
+    famsup= st.number_input("famsup")
+    famsup = le.fit_transform([famsup])
     paid= st.number_input("paid")
+    paid = le.fit_transform([paid])
     activities= st.number_input("activities")
+    activities = le.fit_transform([activities])
     nursery= st.number_input("nursery")
+    nursery = le.fit_transform([nursery])
+    higher= st.number_input("higher")
+    higher = le.fit_transform([higher])
     internet= st.number_input("internet")
+    internet = le.fit_transform([internet])
+    famrel = le.fit_transform([famrel])
     freetime= st.number_input("freetime")
     goout= st.number_input("goout")
     Dalc= st.number_input("Dalc")