app.py

app.py

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+import numpy as np
+import pickle
+import streamlit as st
+
+
+# loading the saved model
+loaded_model = pickle.load(open('C:/Users/dizda/risk/deploy/rf_class.sav', 'rb'))
+
+
+# creating a function for Prediction
+def diabetes_prediction(input_data):
+    # changing the input_data to numpy array
+    input_data_as_numpy_array = np.asarray(input_data)
+    # reshape the array as we are predicting for one instance
+    input_data_reshaped = input_data_as_numpy_array.reshape(1,-1)
+    prediction = loaded_model.predict(input_data_reshaped)
+    if prediction[0] == 0:
+        return 'Bad'
+    else:
+        return 'Good'
+
+
+def main():
+    # giving a title
+    st.title('Risk Credit Prediction Web App')
+    st.title('Enter numeric data only!. Use examples.')
+
+    # getting the input data from the user
+    Age = st.text_input('Age (example >>>	19-75)')
+    Sex = st.text_input('Sex (example >>> male=1 female=0)')
+    Job = st.text_input('Job (example >>> 2, 1, 3, 0)')
+    Housing = st.text_input('Housing (example >>> own=3, free=2, rent=1)')
+    Saving_accounts = st.text_input('Saving accounts (example >>> moderate=1, little=0, quite rich=3, rich=2)')
+    Checking_account = st.text_input('Checking account (example >>> little=1, moderate=2, rich=3)')
+    Credit_amount = st.text_input('Credit amount (example >>> 100-20 000 (Deutsch Mark))')
+    Duration = st.text_input('Duration (example >>> 4-60 (month))')
+    Purpose = st.text_input('Purpose (example >>> radio/TV = 0, education = 1, furniture/equipment = 2, car = 3, business = 4,domestic_appliances = 5, repairs = 6, vacation/others = 7)')
+
+    # code for Prediction
+    risk = ''
+
+    # creating a button for Prediction
+    if st.button('Submit'):
+        risk = diabetes_prediction([Age, Sex, Job, Housing, Saving_accounts, Checking_account, Credit_amount, Duration, Purpose])
+
+    st.success(risk)
+
+
+if __name__ == '__main__':
+    main()