Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+import joblib
+import numpy as np
+
+# Load saved model and scaler
+model = joblib.load("best_svr_model.pkl")
+scaler = joblib.load("scaler.pkl")
+
+def predict_wear(load, particle_size, sliding_speed):
+    input_data = np.array([[load, particle_size, sliding_speed]])
+    scaled_input = scaler.transform(input_data)
+    prediction = model.predict(scaled_input)
+    return round(prediction[0], 4)
+
+iface = gr.Interface(
+    fn=predict_wear,
+    inputs=[
+        gr.Number(label="Load (N)"),
+        gr.Number(label="Particle Size (μm)"),
+        gr.Number(label="Sliding Speed (mm/s)")
+    ],
+    outputs=gr.Number(label="Predicted Volume Loss (mm³/s)"),
+    title="Wear Performance Prediction",
+    description="SVR Model to predict wear volume loss based on input parameters."
+)
+
+iface.launch()