import streamlit as st
import numpy as np
import pickle
import streamlit.components.v1 as components

# Load the pickled model
def load_model():
    return pickle.load(open('Employee_Attrition_ra.pkl', 'rb'))

# Function for model prediction
def model_prediction(model, features):
    predicted = str(model.predict(features)[0])
    return predicted

def app_design():
    # Add input fields for High, Open, and Low values
    image = '13.png'
    st.image(image, use_column_width=True)
    
    st.subheader("Enter the following values:")

    Age = st.number_input("Age")
    BusinessTravel = st.number_input("Business Travel")
    DailyRate = st.number_input("Daily Rate")
    Department = st.number_input("Department")
    DistanceFromHome = st.number_input("Distance From Home")
    Education = st.number_input("Education")
    EducationField = st.number_input("Education Field")
    EmployeeCount = st.number_input("Employee Count")
    EmployeeNumber = st.number_input("Employee Number")
    EnvironmentSatisfaction = st.number_input("Environment Satisfaction")
    Gender = st.selectbox('Gender',('Male','Female'))
    if Gender == 'Male':
          Gender = 0
    elif Gender == 'Female':
          Gender = 1      
    HourlyRate = st.number_input("Hourly Rate")
    JobInvolvement = st.number_input("Job Involvement")
    JobLevel = st.number_input("Job Level")
    JobRole = st.number_input("Job Role")
    JobSatisfaction = st.number_input("JobSatisfaction")
    MaritalStatus = st.number_input("Marital Status")
    MonthlyIncome = st.number_input("Monthly Income")
    MonthlyRate = st.number_input("Monthly Rate")
    NumCompaniesWorked = st.number_input("Number of Companies in you worked")
    Over18 = st.number_input("Over 18 age")
    OverTime = st.number_input("Overtime hours")
    PercentSalaryHike = st.number_input("Percent Salary Hike")
    PerformanceRating = st.number_input("Performance Rating")
    RelationshipSatisfaction = st.number_input("Relationship Satisfaction")
    StandardHours = st.number_input("Standard Hours")
    StockOptionLevel = st.number_input("Stock Option Level")
    TotalWorkingYears = st.number_input("Total Working Years")
    TrainingTimesLastYear = st.number_input("Training Times Last Year")
    WorkLifeBalance = st.number_input("Work Life Balance")
    YearsAtCompany = st.number_input("Years At Company")
    YearsInCurrentRole = st.number_input("Years In Current Role")
    YearsSinceLastPromotion = st.number_input("Years Since Last Promotion")
    YearsWithCurrManager = st.number_input("Years With Current Manager")
    
 
    # Create a feature list from the user inputs
    features = [[Age,BusinessTravel,DailyRate,Department,DistanceFromHome,Education,EducationField,EmployeeCount,EmployeeNumber,EnvironmentSatisfaction,Gender,HourlyRate,JobInvolvement,JobLevel,JobRole,JobSatisfaction,MaritalStatus,MonthlyIncome,MonthlyRate,NumCompaniesWorked,Over18,OverTime,PercentSalaryHike,PerformanceRating,RelationshipSatisfaction,StandardHours,StockOptionLevel,TotalWorkingYears,TrainingTimesLastYear,WorkLifeBalance,YearsAtCompany,YearsInCurrentRole,YearsSinceLastPromotion,YearsWithCurrManager]]
    
    # Load the model
    model = load_model()
    
    # Make a prediction when the user clicks the "Predict" button
    if st.button('Predict Attrition'):
        predicted_value = model_prediction(model, features)
        if predicted_value == 0:
            st.success(f"The Employee will leave the company")
        else:
            st.success(f"The Employee will not leave the company")        


def about_hidevs():

        components.html("""
        <div>
        <h4>🚀 Unlock Your Dream Job with HiDevs Community!</h4>
        <p class="subtitle">🔍 Seeking the perfect job? HiDevs Community is your gateway to career success in the tech industry. Explore free expert courses, job-seeking support, and career transformation tips.</p>
        <p class="subtitle">💼 We offer an upskill program in <b>Gen AI, Data Science, Machine Learning</b>, and assist startups in adopting <b>Gen AI</b> at minimal development costs.</p>
        <p class="subtitle">🆓 Best of all, everything we offer is <b>completely free</b>! We are dedicated to helping society.</p>
        <p class="subtitle">Book free of cost 1:1 mentorship on any topic of your choice — <a class="link" href="https://topmate.io/deepakchawla1307">topmate</a></p>
        <p class="subtitle">✨ We dedicate over 30 minutes to each applicant’s resume, LinkedIn profile, mock interview, and upskill program. If you’d like our guidance, check out our services <a class="link" href="https://hidevscommunity.wixsite.com/hidevs">here</a></p>
        <p class="subtitle">💡 Join us now, and turbocharge your career!</p>
        <p class="subtitle"><a class="link" href="https://hidevscommunity.wixsite.com/hidevs" target="__blank">Website</a>
        <a class="link" href="https://www.youtube.com/@HidevsCommunity1307/" target="__blank">YouTube</a>
        <a class="link" href="https://www.instagram.com/hidevs_community/" target="__blank">Instagram</a>
        <a class="link" href="https://medium.com/@hidevscommunity" target="__blank">Medium</a>
        <a class="link" href="https://www.linkedin.com/company/hidevs-community/" target="__blank">LinkedIn</a>
        <a class="link" href="https://github.com/hidevscommunity" target="__blank">GitHub</a></p>
      </div>
        """,
                    height=600)

def main():

        # Set the app title and add your website name and logo
        st.set_page_config(
        page_title="Employee Attrition Prediction",
        page_icon=":chart_with_upwards_trend:",
        )
    
        st.title("Welcome to our Employee Attrition Prediction App!")
    
        app_design()    
        st.header("About HiDevs Community")
        about_hidevs()

if __name__ == '__main__':
        main()