Update app.py

app.py

@@ -6,9 +6,8 @@ import os
 app = Flask(__name__)
 
 # Initialize vncorenlp (point to the JAR file in your folder)
-current_dir = 'reranking'
-vncorenlp_path = os.path.join(current_dir, "vncorenlp")
-word_segmenter = py_vncorenlp.VnCoreNLP(save_dir=vncorenlp_path, annotators="wseg")
+current_dir = 'reranking/vncorenlp'
+word_segmenter = py_vncorenlp.VnCoreNLP(save_dir=current_dir, annotators=["wseg"])
 
 # Load your cross-encoder model (replace with your model name or path)
 model_name = "truong1301/reranker_pho_BLAI"  # Example model, replace with yours