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| 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('StudentGradesPrediction_LinearRegresssion.pkl', 'rb'))#change | |
| # Function for model prediction | |
| def model_prediction(model, features): | |
| predicted = str(model.predict(features)[0]) | |
| return predicted | |
| le = LabelEncoder() | |
| def transform1(text): | |
| text = le.fit_transform(text) | |
| return text[0] | |
| def app_design(): | |
| # Add input fields for High, Open, and Low values | |
| image = '37.png' #change | |
| st.image(image, use_column_width=True) | |
| st.subheader("Enter the following values:") #change | |
| school= st.number_input("School") | |
| school = transform1([school]) | |
| sex= st.selectbox("sex",('Male','Female')) | |
| sex = transform1([sex]) | |
| age= st.number_input("age") | |
| famsize= st.number_input("famsize") | |
| famsize = transform1([famsize]) | |
| Pstatus= st.number_input("Pstatus") | |
| Pstatus = transform1([Pstatus]) | |
| Medu= st.number_input("Medu") | |
| Fedu= st.number_input("Fedu") | |
| Mjob= st.number_input("Mjob") | |
| Mjob = transform1([Mjob]) | |
| Fjob= st.number_input("Fjob") | |
| Fjob = transform1([Fjob]) | |
| reason = st.number_input("reason") | |
| reason = transform1([reason]) | |
| guardian= st.number_input("guardian") | |
| guardian = transform1([guardian]) | |
| traveltime= st.number_input("traveltime") | |
| studytime= st.number_input("studytime") | |
| failures= st.number_input("failures") | |
| schoolsup= st.number_input("schoolsup") | |
| schoolsup = transform1([schoolsup]) | |
| famsup= st.number_input("famsup") | |
| famsup = transform1([famsup]) | |
| paid= st.number_input("paid") | |
| paid = transform1([paid]) | |
| activities= st.number_input("activities") | |
| activities = transform1([activities]) | |
| nursery= st.number_input("nursery") | |
| nursery = transform1([nursery]) | |
| higher= st.number_input("higher") | |
| higher = transform1([higher]) | |
| internet= st.number_input("internet") | |
| internet = transform1([internet]) | |
| famrel= st.number_input("famrel") | |
| freetime= st.number_input("freetime") | |
| goout= st.number_input("goout") | |
| Dalc= st.number_input("Dalc") | |
| Walc= st.number_input("Walc") | |
| health= st.number_input("health") | |
| absences= st.number_input("absences") | |
| G1= st.number_input("G1") | |
| G2= st.number_input("G2") | |
| # Create a feature list from the user inputs | |
| features = [[school,sex,age,famsize,Pstatus,Medu,Fedu,Mjob,Fjob,reason,guardian,traveltime,studytime,failures,schoolsup,famsup,paid,activities,nursery,higher,internet,famrel,freetime,goout,Dalc,Walc,health,absences,G1,G2]] | |
| # Load the model | |
| model = load_model() | |
| # Make a prediction when the user clicks the "Predict" button | |
| if st.button('Predict Grade'): | |
| predicted_value = model_prediction(model, features) | |
| if '-' in predicted_value: | |
| st.success(f"Student Grade is: 0") | |
| else: | |
| st.success(f"Student Grade is: {predicted_value}") | |
| def about_hidevs(): | |
| components.html(""" | |
| <div> | |
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| </div> | |
| """, | |
| height=600) | |
| def main(): | |
| # Set the app title and add your website name and logo | |
| st.set_page_config( | |
| page_title="Student Gade Prediction", | |
| page_icon=":chart_with_upwards_trend:", | |
| ) | |
| st.title("Welcome to our Student Grade Prediction App!") | |
| app_design() | |
| st.header("About HiDevs Community") | |
| about_hidevs() | |
| if __name__ == '__main__': | |
| main() |