Upload 2 files
Browse files- .gitattributes +1 -0
- app.py +49 -0
- glass_pipeline.skops +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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glass_pipeline.skops filter=lfs diff=lfs merge=lfs -text
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app.py
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import gradio as gr
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import skops.io as sio
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from skops.io import get_untrusted_types
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unknown_types = get_untrusted_types(file="glass_pipeline.skops")
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pipe = sio.load("glass_pipeline.skops", trusted=unknown_types)
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classes = [
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"None",
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"Building Windows Float Processed",
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"Building Windows Non Float Processed",
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"Vehicle Windows Float Processed",
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"Vehicle Windows Non Float Processed",
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"Containers",
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"Tableware",
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"Headlamps",
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]
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def classifier(RI, Na, Mg, Al, Si, K, Ca, Ba, Fe):
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pred_glass = pipe.predict([[RI, Na, Mg, Al, Si, K, Ca, Ba, Fe]])[0]
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label = f"Predicted Glass label: **{classes[pred_glass]}**"
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return label
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inputs = [
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gr.Slider(1.51, 1.54, step=0.01, label="Refractive Index"),
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gr.Slider(10, 17, step=1, label="Sodium"),
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gr.Slider(0, 4.5, step=0.5, label="Magnesium"),
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gr.Slider(0.3, 3.5, step=0.1, label="Aluminum"),
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gr.Slider(69.8, 75.4, step=0.1, label="Silicon"),
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gr.Slider(0, 6.2, step=0.1, label="Potassium"),
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gr.Slider(5.4, 16.19, step=0.1, label="Calcium"),
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gr.Slider(0, 3, step=0.1, label="Barium"),
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gr.Slider(0, 0.5, step=0.1, label="Iron"),
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]
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outputs = [gr.Label(num_top_classes=7)]
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title = "Glass Classification"
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description = "Enter the details to correctly identify glass type?"
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demo = gr.Interface(
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fn=classifier,
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inputs=inputs,
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outputs=outputs,
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title=title,
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description=description,
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)
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demo.launch()
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glass_pipeline.skops
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd51be9208f1c2aa06a7368adb2d9f0d5c58b38dc5c77d23f98b9d1504366022
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size 2991690
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