app.py

## importing the necessary libraries
import streamlit as st
import joblib
import numpy as np

## to save the model
#joblib.dump(mode_name,"the path where you want to save the model")


## to load the model 

model = joblib.load("student_performance_model.h5")


def predict_marks(Hours_studied,Previous_score , Extracurriculum_activities, sleep_hours , sample_question):
    #predict the students marks based on the input data

    input_data = np.array([[Hours_studied,Previous_score , Extracurriculum_activities, sleep_hours , sample_question]])
    prediction = model.predict(input_data)
    prediction = round(float(prediction),2)


    ## ensure the prediction does not exceed 100

    if prediction > 100:
        prediction = 100

    return prediction


def main():

    st.title("Student Performance Prediction")

    ## input data

    name = st.text_input("enter your name")

    Hours_studied = st.number_input("number of hours you studied",min_value = 0.0 ,max_value=18.0,value = 0.0)

    Previous_score = st.number_input("enter your previous score",min_value = 0.0 ,max_value=100.0,value = 0.0)

    Extracurriculum_Activites = st.number_input("no.of  extracurricular activities done",min_value = 0.0,max_value = 10.0 ,value= 0.0 )

    sleep_hours = st.number_input ("Hours you slept", min_value =0.0,max_value = 12.0, value = 0.0)

    sample_questions = st.number_input ("number of sample paper you solved", min_value =0.0,max_value = 20.0, value = 0.0)

    ## sidebar interaction

    st.sidebar.title(f"# hey {name}")
    st.sidebar.title(f"Welcome to your Marks predictor!...")


    ## prediction button

    if st.button("Predict your Marks"):
        prediction = predict_marks(Hours_studied,Previous_score , Extracurriculum_Activites,sleep_hours ,sample_questions)


        ## display the prediction

        if prediction >=90:
            st.balloons()
            st.success(f"congrats {name} you are on a track to score  {prediction} marks!.kepp it up ")
        elif prediction>=35:
            st.warning(f"hey {name} you are on a track to score {prediction} marks. but there's a room to aim higher!")
        else:
            st.error(f"{name} , oh no you might fail the exam as you will be getting {prediction}, work hard and conncentrate on your studies")
            

if __name__ =="__main__":
    main()