adding app

app.py

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+import streamlit as st
+import joblib
+import pandas as pd
+
+st.title("Welcome to ABC Bank")
+
+model = joblib.load('model.joblib')
+#Even though we are not going to use gender to predict the loan status,
+#we will be getting the gender data for future plans/schemes.
+with st.form('Loan Form'):
+    col1,col2 = st.columns(2)
+    with col1:
+        Gender = st.selectbox('Gender',('Male','Female'))
+        Applicant_Income = st.number_input('Applicant Income',min_value=0)
+        Coapplicant_Income = st.number_input('Co-applicant Income',min_value=0)
+        Loan_amount = st.number_input('Loan Amount',min_value=0)
+        Loan_Amount_Term = st.number_input('Loan Amount Term (Months)',min_value=0)
+    with col2:
+        Property_Area = st.selectbox('Property Area',('Urban','Rural','Semiurban'))
+        Credit_History = st.number_input('Credit History',min_value=0,max_value=1)
+        Self_Employed = st.selectbox('Self Employed',('Yes','No'))
+        Dependents = st.selectbox('Dependents',('0','1','2','3','3+'))
+        Education = st.selectbox('Education',('Graduate','Not Graduate'))
+        Married = st.selectbox('Married',('Yes','No'))
+
+    df = pd.DataFrame({
+        'Married': [Married],
+        'Dependents': [Dependents],
+        'Education': [Education],
+        'Self_Employed': [Self_Employed],
+        'Applicant_Income': [Applicant_Income],
+        'Coapplicant_Income': [Coapplicant_Income],
+        'Loan_Amount': [Loan_amount],
+        'Loan_Amount_Term': [Loan_Amount_Term],
+        'Credit_History': [Credit_History],
+        'Property_Area': [Property_Area]}
+        )
+    submit = st.form_submit_button('Predict')
+    if submit:
+        prediction = model.predict(df)
+        if prediction:
+            st.success('Congratulations, Your Home Loan is Approved!!')
+        else:
+            st.error('We are extremely sorry to inform you that you Home Loan is not approved. Please reach out to nearest Branch for further clarification')
+
+    st.write(df)
+
+

model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7167812dfb03f255d78695e8936eead9bd5fb0790ff99d819401ef85537b2a64
+size 5518

requirements.txt

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+streamlit==1.12.0
+pandas==2.0.3
+scikit-learn==1.2.2
+joblib==1.3.2