fix(spaces): remove types

embedding.py

@@ -13,7 +13,7 @@ def average_pool(last_hidden_states: Tensor, attention_mask: Tensor) -> Tensor:
     return last_hidden.sum(dim=1) / attention_mask.sum(dim=1)[..., None]
 
 
-def strings_to_vectors(strings: list[str]):
+def strings_to_vectors(strings):
     passage_batch = tokenizer(
         strings,
         max_length=EMBEDDING_CHAR_LIMIT,

pg.py

@@ -10,7 +10,7 @@ pg = psycopg2.connect(
 )
 
 
-def get_chapters(ids: list[int]):
+def get_chapters(ids):
     cur = pg.cursor()
     cur.execute(
         """

processing.py

@@ -85,7 +85,7 @@ def truncate_to_sequences(text: str, max_char=EMBEDDING_CHAR_LIMIT) -> list[str]
     return sequences
 
 
-def md_to_passages(md: str) -> list[str]:
+def md_to_passages(md: str):
     initial_passages = clean_md(md)
     passages = []
     for p in initial_passages: