Update README.md

README.md

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+---
+datasets:
+- scikit-learn/iris
+---
+
+```python
+import joblib
+
+model = joblib.load("iris_svm.joblib")
+import json
+
+with open("config.json", "r") as f:
+    config = json.load(f)
+
+features = config["features"]
+target = config["targets"][0]
+target_mapping = config["target_mapping"]
+
+import numpy as np
+
+# example input data
+input_data = np.array([
+    [5.1, 3.5, 1.4, 0.2],
+    [4.9, 3.0, 1.4, 0.2],
+    [6.2, 3.4, 5.4, 2.3]
+])
+
+# make sure the input data has the correct shape
+if input_data.shape[1] != len(features):
+    raise ValueError(f"Input data must have {len(features)} features.")
+
+predicted_classes = model.predict(input_data)
+predicted_class_names = [list(target_mapping.keys())[list(target_mapping.values()).index(predicted_class)] for predicted_class in predicted_classes]
+
+print("Predicted classes:", predicted_class_names)
+```