Update app.py

app.py

@@ -22,7 +22,7 @@ model = SentenceTransformer("OrdalieTech/Solon-embeddings-large-0.1")
 def search(query, top_k: int = 20, rescore_multiplier: int = 1, use_approx: bool = False):
  # 1. Embed the query as float32
  start_time = time.time()
- query_embedding = model.encode(query)
+ query_embedding = model.encode(query, prompt="query: ")
  embed_time = time.time() - start_time
 
  # 2. Quantize the query to ubinary