Keep NER text as is

dan/ocr/predict/attention.py

@@ -93,7 +93,7 @@ def compute_prob_by_ner(
     return zip(
         *[
             (
-                f"{characters[current: next_token]}".replace("\n", " "),
+                characters[current:next_token],
                 np.mean(probabilities[current:next_token]),
             )
             for current, next_token in indices
@@ -154,10 +154,7 @@ def split_text(
                 return [], []
 
             indices = build_ner_indices(text, tokens)
-            text_split = [
-                f"{text[current: next_token]}".replace("\n", " ")
-                for current, next_token in indices
-            ]
+            text_split = [text[current:next_token] for current, next_token in indices]
         case _:
             logger.error(f"Level should be either {list(map(str, Level))}")
             return [], []