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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('Online_payment_fraud_detection_randomforest.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 = '26.png'
st.image(image, use_column_width=True)
st.subheader("Enter the following values:")
step = st.number_input("Step: represents a unit of time where 1 step equals 1 hour")
typeup = st.selectbox('Type of online transaction',('PAYMENT', 'TRANSFER', 'CASH_OUT', 'DEBIT', 'CASH_IN'))
typeup = transform([typeup])
amount = st.number_input("The amount of the transaction")
nameOrig = st.text_input("Transaction ID")
nameOrig = transform([nameOrig])
oldbalanceOrg = st.number_input("Balance before the transaction")
newbalanceOrig = st.number_input("Balance after the transaction")
nameDest = st.text_input("Recipient ID")
nameDest = transform([nameDest])
oldbalanceDest = st.number_input("Initial balance of recipient before the transaction")
newbalanceDest = st.number_input("The new balance of recipient after the transaction")
isFlaggedFraud = st.selectbox('IsFlaggedFraud',('Yes','No'))
isFlaggedFraud = transform([isFlaggedFraud])
# Create a feature list from the user inputs
features = [[step,typeup,amount,nameOrig,oldbalanceOrg,newbalanceOrig,nameDest,oldbalanceDest,newbalanceDest,isFlaggedFraud]]
# Load the model
model = load_model()
# Make a prediction when the user clicks the "Predict" button
if st.button('Predict Online Payment Fraud'):
predicted_value = model_prediction(model, features)
if predicted_value=='1':
st.success("Online payment fraud not happened")
else:
st.success("Online payment fraud happened")
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="Online Payment Fraud Detection",
page_icon=":chart_with_upwards_trend:",
)
st.title("Welcome to our Online Payment Fraud Detection App!")
app_design()
st.header("About HiDevs Community")
about_hidevs()
if __name__ == '__main__':
main()