Create inference.py

inference.py

@@ -0,0 +1,10 @@
+import catboost
+from catboost import CatBoostRegressor
+
+model = CatBoostRegressor()
+model.load_model("model.cbm")
+
+def predict(features):
+    # Transform features if necessary
+    prediction = model.predict([features])
+    return prediction.tolist()