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| import streamlit as st | |
| import pandas as pd | |
| import joblib | |
| model = joblib.load('model.pkl') | |
| st.title("🤯 Student Result Predictor") | |
| # take the input | |
| gender = st.selectbox('Gender', ['Female','Male']) | |
| ethinic = st.selectbox('ethinic',['Group A','Group B','Group C','Group D', 'Group E']) | |
| parent_education = st.selectbox('parent education',["bachelor's degree","Associate's Degree","some college","high school","master's degree","some high school"]) | |
| lunch = st.selectbox('Lunch', ['standard', 'free/reduced']) | |
| test_preparation = st.selectbox('Test Preparation', ['Completed','None']) | |
| math_score = st.number_input('Math Score',0, 100) | |
| Reading_score = st.number_input('Reading Score',0, 100) | |
| Writing_score = st.number_input('Writing Score',0, 100) | |
| # ethinic case | |
| group_A = group_B = group_C = group_D = group_E = 0 | |
| if ethinic == 'Group B': | |
| group_B = 1 | |
| elif ethinic == 'Group C': | |
| group_C = 1 | |
| elif ethinic == 'Group D': | |
| group_D = 1 | |
| else: | |
| group_E = 1 | |
| # parent education case, | |
| associate = bachelor = highschool = master = some_college = some_school = 0 | |
| if parent_education == "bachelor's degree": | |
| bachelor = 1 | |
| elif parent_education == "some college": | |
| some_college = 1 | |
| elif parent_education == "high school": | |
| highschool = 1 | |
| elif parent_education == "master's degree": | |
| master = 1 | |
| elif parent_education == "associate's degree": | |
| associate = 1 | |
| else: | |
| some_school = 1 | |
| # gender case | |
| if gender == 'male': | |
| gender = 1 | |
| else: | |
| gender = 0 | |
| # lunch case | |
| if lunch == 'standard': | |
| lunch = 1 | |
| else: | |
| lunch = 0 | |
| # test Preparation | |
| if test_preparation == 'None': | |
| test_preparation = 1 | |
| else: | |
| test_preparation = 0 | |
| input_data = pd.DataFrame({ | |
| 'math score':[math_score], | |
| 'reading score':[Reading_score], | |
| 'writing score':[Writing_score], | |
| 'group_A':[group_A], | |
| 'group_B':[group_B], | |
| 'group_C':[group_C], | |
| 'group_D':[group_D], | |
| 'group_E':[group_E], | |
| 'associate':[associate], | |
| 'bachelor':[bachelor], | |
| 'high_school':[highschool], | |
| 'master':[master], | |
| 'some_college':[some_college], | |
| 'some_school':[some_school], | |
| 'gender':[gender], | |
| 'lunch_standard':[lunch], | |
| 'preparation':[test_preparation] | |
| }) | |
| # predict output | |
| if st.button("Predict"): | |
| prediction = model.predict(input_data)[0] | |
| st.success("🥳 Pass" if prediction == 1 else "⛔ Fail,Try Hard") |