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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('House_rent_prediction_linearregression.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 = '17.png'
st.image(image, use_column_width=True)
st.subheader("Enter the following values:")
Bhk = st.number_input("Bhk")
Size = st.number_input("Size")
Area_Type = st.text_input("Area Type")
Area_Type = transform(['Area_Type'])
Area_Locality = st.text_input("Area Locality")
Area_Locality = transform(['Area_Locality'])
City = st.text_input("City")
City = transform(['City'])
Furnishing_Status = st.text_input("Furnishing Status")
Furnishing_Status = transform(['Furnishing_Status'])
Tenant_Preferred = st.text_input("Tenant Preferred")
Tenant_Preferred = transform(['Tenant_Preferred'])
Bathroom = st.number_input("Bathroom")
Point_of_Contact = st.text_input("Point of Contact")
Point_of_Contact = transform(['Point_of_Contact'])
# Create a feature list from the user inputs
features = [[Bhk,Size,Area_Type,Area_Locality,City,Furnishing_Status,Tenant_Preferred,Bathroom,Point_of_Contact]]
# Load the model
model = load_model()
# Make a prediction when the user clicks the "Predict" button
if st.button('Predict Rent'):
predicted_value = model_prediction(model, features)
st.success(f"The House Rent 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="House RentPrediction",
page_icon=":chart_with_upwards_trend:",
)
st.title("Welcome to our House Rent Prediction App!")
app_design()
st.header("About HiDevs Community")
about_hidevs()
if __name__ == '__main__':
main()
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