File size: 4,198 Bytes
db38778 |
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 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 |
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('Income_classification_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 = '18.png'
st.image(image, use_column_width=True)
st.subheader("Enter the following values:")
Age = st.number_input("Age")
Workclass = st.number_input("Workclass")
Final_weight = st.number_input("Final_weight")
Education = st.number_input("Education")
Education_Num = st.number_input("Education_Num")
Marital_status = st.number_input("Marital_status")
Occupation = st.number_input("Occupation")
Relationship = st.number_input("Relationship")
Race = st.number_input("Race")
Sex = st.selectbox("Sex",('Male','Female'))
Capital_gain = st.number_input("Capital_gain")
Capital_loss = st.number_input("Capital_loss")
Hours_per_week = st.number_input("Hours_per_week")
Native_country = st.number_input("Native_country")
# Create a feature list from the user inputs
features = [[Age, Workclass, Final_weight, Education, Education_Num, Marital_status, Occupation,Relationship,Race,Sex,Capital_gain,Capital_loss,Hours_per_week,Native_country]]
# Load the model
model = load_model()
# Make a prediction when the user clicks the "Predict" button
if st.button('Predict Income'):
predicted_value = model_prediction(model, features)
if predicted_value=='1':
predicted_value='greater then 50000'
else:
predicted_value='less then or equal to 50000'
st.success(f"The Income is: {predicted_value}")
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="Income Classification",
page_icon=":chart_with_upwards_trend:",
)
st.title("Welcome to our Income Classification App!")
app_design()
st.header("About HiDevs Community")
about_hidevs()
if __name__ == '__main__':
main()
|