Update app (1).py

app (1).py

@@ -1,25 +1,26 @@
 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'))
 
+# 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(text):
-    text = le.fit_transform(text)
+def transform(le, text):
+    text = le.transform(text)
     return text[0]
 
-
-def app_design():
+def app_design(le):
     # Add input fields for High, Open, and Low values
     image = 'Ramdevs3'
     st.image(image, use_column_width=True)
@@ -28,20 +29,21 @@ def app_design():
 
     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])
+    typeup = transform(le, [typeup])
     amount = st.number_input("The amount of the transaction")
     nameOrig = st.text_input("Transaction ID")
-    nameOrig = transform([nameOrig])
+    nameOrig = transform(le, [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])
+    nameDest = transform(le, [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])
+    isFlaggedFraud = transform(le, [isFlaggedFraud])
+    
     # Create a feature list from the user inputs
-    features = [[step,typeup,amount,nameOrig,oldbalanceOrg,newbalanceOrig,nameDest,oldbalanceDest,newbalanceDest,isFlaggedFraud]]
+    features = [[step, typeup, amount, nameOrig, oldbalanceOrg, newbalanceOrig, nameDest, oldbalanceDest, newbalanceDest, isFlaggedFraud]]
     
     # Load the model
     model = load_model()
@@ -49,45 +51,40 @@ def app_design():
     # 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':
+        if predicted_value == '1':
            st.success("Online payment fraud not happened")
         else:
            st.success("Online payment fraud happened")
 
-# def about_RamDevs():
-
-#         components.html("""
-#         <div>
-#         <h4>🚀 Unlock Your Dream Job with RamDevs Community!</h4>
-#         <p class="subtitle">🔍 Seeking the perfect job? RamDevs Community is your gateway to career success in the tech industry. Explore free expert courses, job-seeking support, and career transformation tips.</p>
-#         <p class="subtitle">💼 We offer an upskill program in <b>Gen AI, Data Science, Machine Learning</b>, and assist startups in adopting <b>Gen AI</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 resume, LinkedIn profile, mock interview, 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 career!</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 about_RamDevs():
+    components.html("""
+    <div>
+        <h4>🚀 Unlock Your Dream Job with RamDevs Community!</h4>
+        <p class="subtitle">🔍 Seeking the perfect job? RamDevs Community is your gateway to career success in the tech industry. Explore free expert courses, job-seeking support, and career transformation tips.</p>
+        <p class="subtitle">💼 We offer an upskill program in <b>Gen AI, Data Science, Machine Learning</b>, and assist startups in adopting <b>Gen AI</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 resume, LinkedIn profile, mock interview, 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 career!</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!")
 
-        # 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 RamDevs Community")
-        # about_RamDevs()
+    le = load_label_encoder()
+    app_design(le)
+    st.header("About RamDevs Community")
+    about_RamDevs()
 
 if __name__ == '__main__':
-        main()
+    main()