Update app.py

app.py

@@ -6,8 +6,8 @@ import torch
 
 # 1. Dense embedding model (HF bi-encoder)
 # dense_model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
-dense_model = SentenceTransformer('distiluse-base-multilingual-cased-v2')
-
+# dense_model = SentenceTransformer('distiluse-base-multilingual-cased-v2')
+dense_model = SentenceTransformer('multi-qa-mpnet-base-cos-v1')
 def embed_dense(text: str):
     if not text.strip():
         return {"error": "Input text is empty."}