| import skops.io as sio | |
| import gradio as gr | |
| pipe = sio.load("bank_marketing_pipe.skops", trusted=True) | |
| classes = [ | |
| "Not Subscribe", | |
| "Subscribe"] | |
| def classifier(age, job, marital, education, default, balance, housing,loan, contact): | |
| pred = pipe.predict([[age, job, marital, education, default, balance, housing,loan, contact]])[0] | |
| label = f"Predicted output: **{classes[pred]}**" | |
| return label | |
| inputs = [ | |
| gr.Slider(10, 90, step=1, label="Age"), | |
| gr.Dropdown(["admin.","unknown","unemployed","management","housemaid","entrepreneur","student","blue-collar", | |
| "self-employed","retired","technician","services"], label="Job", multiselect=False), | |
| gr.Dropdown(["married","divorced","single"], label="Marital", multiselect=False), | |
| gr.Dropdown(["unknown","secondary","primary","tertiary"], label="Education", multiselect=False), | |
| gr.Radio(["yes","no"], label="Default", info='has credit in default?'), | |
| gr.Slider(-100000, 100000, step=1, label="Balance"), | |
| gr.Radio(["yes","no"], label="Housing", info='has housing loan?'), | |
| gr.Radio(["yes","no"], label="Loan", info='has personal loan?'), | |
| gr.Dropdown(["unknown","telephone","cellular"], label="Contact") | |
| ] | |
| outputs = [gr.Label(num_top_classes=2)] | |
| title = "Deposit Subscription Prediction" | |
| description = "Enter the details to identify where or not the customer is subscribed or not subscribed for deposit" | |
| gr.Interface( | |
| fn=classifier, | |
| inputs=inputs, | |
| outputs=outputs, | |
| title=title, | |
| description=description, | |
| ).launch() |