Update app.py

app.py

@@ -39,19 +39,19 @@ def chunk_document(doc: str, doc_id: int, desired_chunk_size: int = 100, max_chu
     if chunk:
         yield (doc_id, chunk_number, chunk)
 
-def chunk_documents(docs: List[str], desired_chunk_size: int = 100, max_chunk_size: int = 3000):
+def chunk_documents(docs: list[str], desired_chunk_size: int = 100, max_chunk_size: int = 3000):
     chunks = []
     for doc_id, doc in enumerate(docs):
         chunks.extend(chunk_document(doc, doc_id, desired_chunk_size, max_chunk_size))
     return chunks
 
-from typing import List
+#from typing import list
 import numpy as np
 from rank_bm25 import BM25Okapi
 from sentence_transformers import SentenceTransformer
 import torch
 class Retriever:
-    def __init__(self, docs: List[str]):
+    def __init__(self, docs: list[str]):
 
         self.chunks = chunk_documents(docs)  
         self.docs = [chunk[2] for chunk in self.chunks]