Update README.md

README.md

@@ -87,13 +87,26 @@ This means predictions are typically within ±0.12 of the true score, explaining
 ```python
 import joblib
 from sentence_transformers import SentenceTransformer
+from huggingface_hub import hf_hub_download
 
-# Load model and embedder
-model = joblib.load("Sankofa_xgb_model.pkl")
+# -----------------------------
+# 1. Download model from Hugging Face Hub
+# -----------------------------
+REPO_ID = "mjpsm/Sankofa-xgb-model"
+FILENAME = "Sankofa_xgb_model.pkl"
+
+model_path = hf_hub_download(repo_id=REPO_ID, filename=FILENAME)
+
+# -----------------------------
+# 2. Load model + embedder
+# -----------------------------
+model = joblib.load(model_path)
 embedder = SentenceTransformer("all-mpnet-base-v2")
 
-# Example text
-text = "The community documented their struggles so future generations could learn."
+# -----------------------------
+# 3. Example prediction
+# -----------------------------
+text = "The group studied old archives before planning, ensuring past mistakes were not repeated."
 embedding = embedder.encode([text])
 score = model.predict(embedding)[0]