Fraud_detection.py

import streamlit as st
import pandas as pd
import joblib

model = joblib.load("fraud_detection_pipeline.pkt")

st.title("Fraud Detection prediction App")

st.markdown("please enter the Transaction Details and use the Predict button ")

st.divider()

transaction_type=st.selectbox("Transaction Type",["PAYMENT","TRANSFER","CASH_OUT","DEPOSIT"])
amount=st.number_input("Amount",min_value=0.0,value=1000.0)
oldbalanceOrg=st.number_input(" Old Balance (Sender)",min_value=0.0,value=10000.0)
newbalanceOrig=st.number_input(" New Balance (Sender)",min_value=0.0,value=9000.0)
oldbalanceDest=st.number_input(" Old Balance (Receiver)",min_value=0.0,value=0.0)
newbalanceDest=st.number_input(" New Balance (Receiver)",min_value=0.0,value=0.0)

if st.button("Predict"):
    input_data=pd.DataFrame([{
        "type": transaction_type,
        "amount": amount,
        "oldbalanceOrg": oldbalanceOrg,
        "newbalanceOrig":newbalanceOrig,
        "oldbalanceDest":oldbalanceDest,
        "newbalanceDest":newbalanceDest

    }])

    prediction =model.predict(input_data)[0]

    st.subheader(f"Predition:' {int(prediction)}'")

    if prediction==1:
        st.error("This is Fraud")
    else:
        st.success("This is not Fraud")