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| 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('crime_prediction_rr.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 = '9.png' | |
| st.image(image, use_column_width=True) | |
| st.subheader("Enter the following values:") | |
| year = st.number_input("Year") | |
| month = st.number_input("Month") | |
| day = st.number_input("Day") | |
| hour = st.number_input("Hour") | |
| dayofyear = st.number_input("Day Of Year") | |
| week = st.number_input("Week") | |
| weekofyear = st.number_input("Week of Year") | |
| dayofweek = st.number_input("Day of Week") | |
| weekday = st.number_input("Week Day") | |
| quarter = st.number_input("Quarter") | |
| latitude = st.number_input("Latitude") | |
| longitude = st.number_input("Longitude") | |
| # Create a feature list from the user inputs | |
| features = [[year,month,day,hour,dayofyear,week,weekofyear,dayofweek,weekday,quarter,latitude,longitude]] | |
| # Load the model | |
| model = load_model() | |
| # Make a prediction when the user clicks the "Predict" button | |
| if st.button('Predict Crime'): | |
| predicted_value = model_prediction(model, features) | |
| st.success(f"The Crime analysis 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="Crime Prediction", | |
| page_icon=":chart_with_upwards_trend:", | |
| ) | |
| st.title("Welcome to our Crime Prediction App!") | |
| app_design() | |
| st.header("About HiDevs Community") | |
| about_hidevs() | |
| if __name__ == '__main__': | |
| main() | |