Update app.py

app.py

@@ -5,13 +5,20 @@ import lightgbm as lgb
 from sentence_transformers import SentenceTransformer
 import numpy as np
 
-# Load models from Hugging Face Hub
-ridge = joblib.load("Essay/ridge_model.pkl")
-lgb_model = lgb.Booster(model_file="Essay/lightgbm_model.txt")
-encoder = joblib.load("Essay/scaler_encoder.pkl")
+# Load files from the model repo "your-username/Essay"
+repo_id = "Nawal20/Essay"
 
-# Load metadata column order
-with open("Essay/metadata_columns.json", "r") as f:
+ridge_path = hf_hub_download(repo_id=repo_id, filename="ridge_model.pkl")
+lgb_path = hf_hub_download(repo_id=repo_id, filename="lightgbm_model.txt")
+encoder_path = hf_hub_download(repo_id=repo_id, filename="scaler_encoder.pkl")
+metadata_path = hf_hub_download(repo_id=repo_id, filename="metadata_columns.json")
+
+# Load the models and encoder
+ridge = joblib.load(ridge_path)
+lgb_model = lgb.Booster(model_file=lgb_path)
+encoder = joblib.load(encoder_path)
+
+with open(metadata_path, "r") as f:
     metadata_columns = json.load(f)
 
 # Load SBERT model (will download at runtime)