Update app.py

app.py

@@ -25,7 +25,7 @@ def preprocess_text(text: str) -> str:
     tokens = [word for word in tokens if word not in stop_words]
     return " ".join(tokens)
 
-# === Load Model ===
+# === Load Models ===
 print("Loading SentenceTransformer...")
 st_model = SentenceTransformer("sentence-transformers/all-mpnet-base-v2")
 
@@ -50,7 +50,7 @@ def predict(input_data: EssayInput):
     essay_length = len(input_data.text)
     X = np.concatenate([vec, [[essay_length]]], axis=1)
 
-    # 4. Predict with each model
+    # 4. Predict dengan setiap model
     results = {}
     for col, model in models.items():
         results[col] = float(model.predict(X)[0])