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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+glass_pipeline.skops filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,50 @@
+import gradio as gr
+import skops.io as sio
+
+pipe = sio.load("glass_pipeline.skops", trusted=True)
+
+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?"
+
+
+
+gr.Interface(
+    fn=classifier,
+    inputs=inputs,
+    outputs=outputs,
+    title=title,
+    description=description,
+).launch(share=True)

glass_pipeline.skops

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab023756f28c9602f110e3b1854ad0122c172abbcf383efc97d6e31a61dfd86f
+size 2855349