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app.py

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+import joblib
+import gradio as gr
+
+# Load model
+model = joblib.load("scaler.pkl")
+
+# Prediction function
+def predict(val1, val2):
+    prediction = model.predict([[float(val1), float(val2)]])
+    return str(prediction[0])
+
+# UI
+gr.Interface(
+    fn=predict,
+    inputs=["number", "number"],
+    outputs="text"
+).launch()

requirements.txt

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+scikit-learn
+joblib
+gradio

scaler.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fbbbb17af4a0332e6152e6df9559e71267e556ab8514ec07d07dadc5d3306c0f
+size 597