Update model.py

model.py

@@ -24,18 +24,6 @@ MODEL_PATH = "/tmp/global_model.h5"
 DATA_PATH = "/tmp/initial_data.csv"
 
 
-# ===============================
-# 8. GLOBAL LOADING FOR FASTAPI
-# ===============================
-# Load model and encoders for FastAPI app
-if os.path.exists(MODEL_PATH):
-    ml_model = tf.keras.models.load_model(MODEL_PATH)
-    print("✅ Loaded trained model for prediction.")
-else:
-    ml_model = load_or_train_model()
-
-scaler = joblib.load("scaler.pkl")
-print("✅ Loaded scaler.")
 
 
 
@@ -363,6 +351,25 @@ def predict_user_input(user_input):
     return predictions
 
 
+
+
+# ===============================
+# 8. GLOBAL LOADING FOR FASTAPI
+# ===============================
+# Load model and encoders for FastAPI app
+if os.path.exists(MODEL_PATH):
+    ml_model = tf.keras.models.load_model(MODEL_PATH)
+    print("✅ Loaded trained model for prediction.")
+else:
+    ml_model = load_or_train_model()
+
+scaler = joblib.load("scaler.pkl")
+print("✅ Loaded scaler.")
+
+
+
+
+
 # ===============================
 # 7. EXAMPLE RUN
 # ===============================