return 10 results for simi-check

app.py

@@ -49,7 +49,7 @@ def similarity_search(queries, doc):
     query_list = queries.split('\n')
 
     corpus_embeddings = embedder.encode(doc_list, convert_to_tensor=True)
-    top_k = min(5, len(doc_list))
+    top_k = min(10, len(doc_list))
     output = ""
     for query in query_list:
         query_embedding = embedder.encode(query, convert_to_tensor=True)