Update app.py

app.py

@@ -14,7 +14,6 @@ with open("xgboost_best_model.pkl", "wb") as f:
     f.write(response.content)
 xgb_model = joblib.load("xgboost_best_model.pkl")
 
-# Streamlit UI
 st.title("Paraphrase Detection with SentenceTransformer and XGBoost for Indonesian Sentences")
 st.write(
     """
@@ -43,11 +42,9 @@ if st.button("Check Paraphrase"):
             embedding1 = model.encode(sentence1)
             embedding2 = model.encode(sentence2)
     
-            # Hitung cosine similarity
             similarity = cosine_similarity([embedding1], [embedding2])[0][0]
             st.write(f"Cosine Similarity: {similarity:.4f}")
     
-            # Gunakan model XGBoost untuk memprediksi apakah ini parafrasa atau tidak
             prediction = xgb_model.predict(np.array([[similarity]]))
             if prediction == 1:
                 st.success("The sentences are likely paraphrases of each other.")