File size: 1,107 Bytes
5b915d8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | import pandas as pd
import joblib
import streamlit as st
import warnings
warnings.filterwarnings("ignore")
st.set_page_config(page_title="Student Success Prediction", page_icon="💡")
model = joblib.load("lo_model.pkl")
col = joblib.load("columns.pkl")
scaler = joblib.load("Scaler.pkl")
st.title("Student Success Prediction APP 🏆🎖️")
sh = st.number_input("Study Hours",1,20,5)
at = st.slider("Attendance",0.0,100.0,50.0)
ps = st.slider("Past Score",0.0,100.0,50.0)
s = st.number_input("Sleep Hours",4,15,8)
print(model)
if st.button("Predict"):
try:
user_input_df = pd.DataFrame([{
"StudyHours": sh,
"Attendance": at,
"PastScore": ps,
"SleepHours": s
}])
user_input_df = user_input_df[col]
user_input_scaled = scaler.transform(user_input_df)
prediction = model.predict(user_input_scaled)
if prediction[0] == 1:
st.success("🎉 Result: Pass 😃")
else:
st.error("❌ Result: Fail 😥")
except Exception as e:
st.error(f"Error: {e}")
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