Upload app.py

app.py

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+import joblib
+import pandas as pd
+import streamlit as st
+
+purpose_1 = {'all_other': 1,
+            'credit_card': 2,
+            'debt_consolidation': 3,
+            'educational': 4,
+            'home_improvement': 5,
+            'major_purchase': 6,
+            'small_business': 7,
+            }
+
+model = joblib.load('model_1.joblib')
+unique_values = joblib.load('unique_values_1.joblib')
+unique_Purpose =  unique_values["purpose"]
+
+def main():
+    st.title("Loan Data")
+
+    with st.form("questionaire"):
+        purpose = st.selectbox("Purpose", options = unique_Purpose )
+        int_rate = st.slider("The interest rate of the loan", 0.0000,1.0000) 
+        installments = st.number_input("The monthly installments owed") 
+        log_annual_inc  = st.number_input("The natural log of the self-reported annual income of the borrower")
+        dti = st.number_input("The debt to income ratio of the borrower")
+        fico = st.slider("The FICO credit score of the borrower.", 0,1000)
+        days_with_cr_line = st.number_input("The number of days the borrower has had a credit line.")
+        revol_bal = st.number_input("The borrower's revolving balance")
+        revol_util= st.number_input("The borrower's revolving line utilization rate")
+        inq_last_6mths= st.slider("The borrower's number of inquiries by creditors in the last 6 months.", 0,100)
+        delinq_2yrs = st.slider("The number of times the borrower had been 30+ days past due on a payment in the past 2 year", 0,100 )
+        pub_rec= st.slider("The borrower's number of derogatory public records", 0,100 )
+        not_fully_paid =  st.slider("not fully paid.", 0,100)
+       
+        # clicked==True only when the button is clicked
+        clicked = st.form_submit_button("Predict income")
+        if clicked:
+            result=model.predict(pd.DataFrame({"purpose": [purpose_1],
+                                               "int.rate": [int_rate],
+                                               "installment": [installments],
+                                               "log.annual.inc": [log_annual_inc],
+                                               "dti": [dti],
+                                               "fico": [fico],
+                                               "days.with.cr.line": [days_with_cr_line],
+                                               "revol.bal": [revol_bal],
+                                               "revol.util": [revol_util],
+                                               "inq.last.6mths": [inq_last_6mths]
+                                               "delinq.2yrs": [delinq_2yrs]
+                                               "pub.rec": [pub_rec]
+                                               "not.fully.paid": [not_fully_paid]}))
+            # Show prediction
+            result = 'Pass' if result[0] == 1 else 'Not Pass'
+            st.success("Your predicted loan is "+result) #แสดงผล
+            
+# Run main()
+if __name__ == "__main__":
+    main()