Upload 3 files

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+import joblib
+import numpy as np
+
+# Load trained model and scaler
+model = joblib.load("game_model.joblib")
+scaler = joblib.load("scaler.joblib")
+
+# Prediction function
+def predict_sales(na, eu, jp, other, year):
+    X = np.array([[na, eu, jp, other, year]])
+    X_scaled = scaler.transform(X)
+    pred = model.predict(X_scaled)[0]
+    return float(pred)
+
+# Gradio UI
+interface = gr.Interface(
+    fn=predict_sales,
+    inputs=[
+        gr.Number(label="NA Sales"),
+        gr.Number(label="EU Sales"),
+        gr.Number(label="JP Sales"),
+        gr.Number(label="Other Sales"),
+        gr.Number(label="Year")
+    ],
+    outputs=gr.Number(label="Predicted Global Sales"),
+    title="Game Sales Predictor (KNN Model)",
+    description="Enter sales values to predict the total global sales of a game."
+)
+
+interface.launch()

game_model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b29b8742d47e02514c445c2cb47d883c08f42a10f5ed017f4b270634eb8d6709
+size 17446

scaler.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a6338b39b677b3f01ffd056c485259827893aaf1b999495b84996a99a9c1775d
+size 1023