Delete app.py

app.py

@@ -1,92 +0,0 @@
-import streamlit as st
-import numpy as np
-import pickle
-import streamlit.components.v1 as components
-from sklearn.preprocessing import LabelEncoder
-
-# Load the pickled model
-def load_model():
-    return pickle.load(open('online_payment_fraud_detection_randomforest.pkl', 'rb'))
-
-# Load the LabelEncoder
-def load_label_encoder():
-    with open('label_encoder.pkl', 'rb') as f:
-        return pickle.load(f)
-
-# Function for model prediction
-def model_prediction(model, features):
-    predicted = str(model.predict(features)[0])
-    return predicted
-
-def transform(le, text):
-    text = le.transform(text)
-    return text[0]
-
-def app_design(le):
-    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(le, [typeup])
-
-    amount = st.number_input("The amount of the transaction")
-
-    nameOrig = st.text_input("Transaction ID")  # Don't transform
-    oldbalanceOrg = st.number_input("Balance before the transaction")
-    newbalanceOrig = st.number_input("Balance after the transaction")
-
-    nameDest = st.text_input("Recipient ID")  # Don't transform
-    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(le, [isFlaggedFraud])
-
-    # Create a feature list from the user inputs
-    # ➔ set nameOrig and nameDest as 0
-    features = [[step, typeup, amount, 0, oldbalanceOrg, newbalanceOrig, 0, 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 detected")
-        else:
-            st.success("✅ No online payment fraud detected")
-
-def about_RamDevs():
-    components.html("""
-    <div>
-        <h4>🚀 Unlock Your Easy Safety with RamDevs Community!</h4>
-        <p class="subtitle">🔍 Seeking the perfect hassle-free safe online transactions? RamDevs Community is your gateway to easier and safer transactions. Explore free expert sessions, customer support, and password transformation tips.</p>
-        <p class="subtitle">💼 We offer an upskill program in <b>CyberSecurity, Password management, Legal Terms and Services</b>, and assist customers in <b>security and safer online transactions</b> at minimal development costs.</p>
-        <p class="subtitle">🆓 Best of all, everything we offer is <b>completely free</b>! We are dedicated to helping society.</p>
-        <p class="subtitle">Book free of cost 1:1 mentorship on any topic of your choice — <a class="link" href="https://topmate.io/deepakchawla1307">topmate</a></p>
-        <p class="subtitle">✨ We dedicate over 30 minutes to each applicant’s Password selection, Online profile, mock frauds, and upskill program. If you’d like our guidance, check out our services <a class="link" href="https://RamDevscommunity.wixsite.com/RamDevs">here</a></p>
-        <p class="subtitle">💡 Join us now, and turbocharge your CyberSecurity!</p>
-        <p class="subtitle">
-            <a class="link" href="https://RamDevscommunity.wixsite.com/RamDevs" target="__blank">Website</a>
-            <a class="link" href="https://www.youtube.com/@RamDevsCommunity1307/" target="__blank">YouTube</a>
-            <a class="link" href="https://www.instagram.com/RamDevs_community/" target="__blank">Instagram</a>
-            <a class="link" href="https://medium.com/@RamDevscommunity" target="__blank">Medium</a>
-            <a class="link" href="https://www.linkedin.com/company/RamDevs-community/" target="__blank">LinkedIn</a>
-            <a class="link" href="https://github.com/RamDevscommunity" target="__blank">GitHub</a>
-        </p>
-    </div>
-    """, height=600)
-
-def main():
-    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!")
-
-    le = load_label_encoder()
-    app_design(le)
-    st.header("About RamDevs Community")
-    about_RamDevs()
-
-if __name__ == '__main__':
-    main()