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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('Employee_Turnover_prognosis_RandomForest.pkl', 'rb'))
# Function for model prediction
def model_prediction(model, features):
predicted = str(model.predict(features)[0])
return predicted
def transform(text):
text = le.fit_transform(text)
return text[0]
def app_design():
# Add input fields for High, Open, and Low values
image = '14.png'
st.image(image, use_column_width=True)
st.subheader("Enter the following values:")
Stag = st.number_input("Stag")
Gender = st.selectbox('Gender',('Male','Female'))
if Gender == 'Male':
Gender = 1
elif Gender == 'Female':
Gender = 0
Age = st.number_input("Age")
Industry = st.text_input("Industry")
Industry=transform([Industry])
Profession = st.text_input("Profession")
Profession=transform([Profession])
Traffic = st.text_input("Traffic")
Traffic=transform([Traffic])
Coach = st.selectbox('Coach',('Yes','No'))
if Coach == 'Yes':
Coach = 1
elif Coach == 'No':
Coach = 0
Head_gender = st.selectbox("Head Gender",('Male','Female'))
if Head_gender == 'Male':
Head_gender = 0
elif Head_gender == 'Female':
Head_gender = 1
Greywage = st.text_input("Greywage")
Greywage=transform([Greywage])
Way = st.text_input("Way")
Way=transform([Way])
Extraversion = st.number_input("Extraversion")
Independ = st.number_input("Independ")
Selfcontrol = st.number_input("Self-control")
Anxiety = st.number_input("Anxiety")
Novator = st.number_input("Novator")
# Create a feature list from the user inputs
features = [[Stag,Gender,Age,Industry,Profession,Traffic,Coach,Head_gender,Greywage,Way,Extraversion,Independ,Selfcontrol,Anxiety,Novator]]
# Load the model
model = load_model()
# Make a prediction when the user clicks the "Predict" button
if st.button('Predict Turnover'):
predicted_value = model_prediction(model, features)
st.success(f"The Employee Turnover 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="Employee Turnover Prediction",
page_icon=":chart_with_upwards_trend:",
)
st.title("Welcome to our Employee Turnover Prediction App!")
app_design()
st.header("About HiDevs Community")
about_hidevs()
if __name__ == '__main__':
main()
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