Adding app

app.py

@@ -23,9 +23,9 @@ print("Index loaded successfully")
 
 def encode_query(query):
     query_embeddings = model.encode([query], convert_to_tensor=True)
-    query_embeddings = F.layer_norm(embeddings, normalized_shape=(embeddings.shape[1],))
-    query_embeddings = embeddings[:, :DIM]
-    query_embeddings = F.normalize(embeddings, p=2, dim=1)
+    query_embeddings = F.layer_norm(query_embeddings, normalized_shape=(query_embeddings.shape[1],))
+    query_embeddings = query_embeddings[:, :DIM]
+    query_embeddings = F.normalize(query_embeddings, p=2, dim=1)
     return query_embeddings
 
 def search_nearest_papers(query, k=5):