Commit
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db38778
1
Parent(s):
e74d994
Create app.py
Browse files
app.py
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import streamlit as st
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import numpy as np
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import pickle
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import streamlit.components.v1 as components
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# Load the pickled model
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def load_model():
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return pickle.load(open('Income_classification_ra.pkl', 'rb'))
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# Function for model prediction
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def model_prediction(model, features):
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predicted = str(model.predict(features)[0])
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return predicted
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def app_design():
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# Add input fields for High, Open, and Low values
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image = '18.png'
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st.image(image, use_column_width=True)
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st.subheader("Enter the following values:")
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Age = st.number_input("Age")
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Workclass = st.number_input("Workclass")
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Final_weight = st.number_input("Final_weight")
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Education = st.number_input("Education")
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Education_Num = st.number_input("Education_Num")
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Marital_status = st.number_input("Marital_status")
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Occupation = st.number_input("Occupation")
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Relationship = st.number_input("Relationship")
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Race = st.number_input("Race")
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Sex = st.selectbox("Sex",('Male','Female'))
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Capital_gain = st.number_input("Capital_gain")
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Capital_loss = st.number_input("Capital_loss")
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Hours_per_week = st.number_input("Hours_per_week")
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Native_country = st.number_input("Native_country")
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# Create a feature list from the user inputs
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features = [[Age, Workclass, Final_weight, Education, Education_Num, Marital_status, Occupation,Relationship,Race,Sex,Capital_gain,Capital_loss,Hours_per_week,Native_country]]
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# Load the model
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model = load_model()
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# Make a prediction when the user clicks the "Predict" button
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if st.button('Predict Income'):
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predicted_value = model_prediction(model, features)
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if predicted_value=='1':
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predicted_value='greater then 50000'
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else:
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predicted_value='less then or equal to 50000'
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st.success(f"The Income is: {predicted_value}")
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def about_hidevs():
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components.html("""
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<div>
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<h4>🚀 Unlock Your Dream Job with HiDevs Community!</h4>
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<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>
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<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>
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<p class="subtitle">🆓 Best of all, everything we offer is <b>completely free</b>! We are dedicated to helping society.</p>
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<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>
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<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>
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<p class="subtitle">💡 Join us now, and turbocharge your career!</p>
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<p class="subtitle"><a class="link" href="https://hidevscommunity.wixsite.com/hidevs" target="__blank">Website</a>
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<a class="link" href="https://www.youtube.com/@HidevsCommunity1307/" target="__blank">YouTube</a>
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<a class="link" href="https://www.instagram.com/hidevs_community/" target="__blank">Instagram</a>
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<a class="link" href="https://medium.com/@hidevscommunity" target="__blank">Medium</a>
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<a class="link" href="https://www.linkedin.com/company/hidevs-community/" target="__blank">LinkedIn</a>
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<a class="link" href="https://github.com/hidevscommunity" target="__blank">GitHub</a></p>
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</div>
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""",
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height=600)
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def main():
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# Set the app title and add your website name and logo
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st.set_page_config(
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page_title="Income Classification",
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page_icon=":chart_with_upwards_trend:",
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)
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st.title("Welcome to our Income Classification App!")
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app_design()
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st.header("About HiDevs Community")
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about_hidevs()
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if __name__ == '__main__':
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main()
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