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('Social_Media _Ads_prediction_RandomForest.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 = '33.png'
    st.image(image, use_column_width=True)
    
    st.subheader("Enter the following values:")

    Age = st.number_input("Age")
    EstimatedSalary = st.number_input("EstimatedSalary")
    
 
    # Create a feature list from the user inputs
    features = [[Age,EstimatedSalary]]
    
    # Load the model
    model = load_model()
    
    # Make a prediction when the user clicks the "Predict" button
    if st.button('Predict Ads'):
        predicted_value = model_prediction(model, features)
        if predicted_value=='1':
           st.success('The Person will buy the product')
        else:
           st.success('The Person will not buy the product')


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>
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        <p class="subtitle">💡 Join us now, and turbocharge your career!</p>
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        <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>
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        <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="Social Media Ads Classification",
        page_icon=":chart_with_upwards_trend:",
        )
    
        st.title("Welcome to our Social Media Ads Classification App!")
    
        app_design()    
        st.header("About HiDevs Community")
        about_hidevs()

if __name__ == '__main__':
        main()