app.py

import gradio as gr
import skops.io as sio
from skops.io import get_untrusted_types

unknown_types = get_untrusted_types(file="glass_pipeline.skops")
pipe = sio.load("glass_pipeline.skops", trusted=unknown_types)

classes = [
    "None",
    "Building Windows Float Processed",
    "Building Windows Non Float Processed",
    "Vehicle Windows Float Processed",
    "Vehicle Windows Non Float Processed",
    "Containers",
    "Tableware",
    "Headlamps",
]


def classifier(RI, Na, Mg, Al, Si, K, Ca, Ba, Fe):
    pred_glass = pipe.predict([[RI, Na, Mg, Al, Si, K, Ca, Ba, Fe]])[0]
    label = f"Predicted Glass label: **{classes[pred_glass]}**"
    return label


inputs = [
    gr.Slider(1.51, 1.54, step=0.01, label="Refractive Index"),
    gr.Slider(10, 17, step=1, label="Sodium"),
    gr.Slider(0, 4.5, step=0.5, label="Magnesium"),
    gr.Slider(0.3, 3.5, step=0.1, label="Aluminum"),
    gr.Slider(69.8, 75.4, step=0.1, label="Silicon"),
    gr.Slider(0, 6.2, step=0.1, label="Potassium"),
    gr.Slider(5.4, 16.19, step=0.1, label="Calcium"),
    gr.Slider(0, 3, step=0.1, label="Barium"),
    gr.Slider(0, 0.5, step=0.1, label="Iron"),
]
outputs = [gr.Label(num_top_classes=7)]

title = "Glass Classification"
description = "Enter the details to correctly identify glass type?"

demo = gr.Interface(
    fn=classifier,
    inputs=inputs,
    outputs=outputs,
    title=title,
    description=description,
)
demo.launch()