app.py

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('Mobile_Price_Prediction_LogisticRegression.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 = '53.png'
    st.image(image, use_column_width=True)
    
    st.subheader("Enter the following values:")

    battery_power = st.number_input("Battery Power")
    blue = st.number_input("Bluetooth")
    clock_speed = st.number_input("Clock Speed")
    dual_sim = st.number_input("Dual Sim")
    fc = st.number_input("front camera")
    four_g = st.number_input("4G")
    int_memory = st.number_input("Int Memory")
    m_dep = st.number_input("Mobile Dep")
    mobile_wt = st.number_input("Mobile Weight")
    n_cores = st.number_input("No. of Cores")
    pc = st.number_input("Primary camera")
    px_height = st.number_input("PX Height")
    px_width = st.number_input("PX Width")
    ram = st.number_input("RAM")
    sc_h = st.number_input("SC Height")
    sc_w = st.number_input("SC width")
    talk_time = st.number_input("Talk Time")
    three_g = st.number_input("3G")
    touch_screen = st.number_input("Touch Screen")
    wifi = st.number_input("Wifi")
 
    # Create a feature list from the user inputs
    features = [[battery_power,blue,clock_speed,dual_sim,fc,four_g,int_memory,m_dep,mobile_wt,n_cores,pc,px_height,px_width,ram,sc_h,sc_w,talk_time,three_g,touch_screen,wifi]]
    
    # Load the model
    model = load_model()
    
    # Make a prediction when the user clicks the "Predict" button
    if st.button('Predict Model'):
        predicted_value = model_prediction(model, features)
        if predicted_value=='0':
           st.success('The Mobile Price is Low')
        elif predicted_value=='1':
           st.success('The Mobile Price is Medium')
        elif predicted_value=='2':
           st.success('The Mobile Price is High')
        else:
           st.success('The Mobile Price is Very High')


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="Mobile Price Classification",
        page_icon=":chart_with_upwards_trend:",
        )
    
        st.title("Welcome to our Mobile Price Classification App!")
    
        app_design()    
        st.header("About HiDevs Community")
        about_hidevs()

if __name__ == '__main__':
        main()