Minor lg changes (#2533)

* Minor lg change

* Update Documentation & Code Style

* Fix missing articles

* Update Documentation & Code Style

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Author: agnieszka-m

docs/_src/api/api/document_classifier.md

@@ -125,18 +125,18 @@ or an entailment.
 def predict(documents: List[Document], batch_size: Optional[int] = None) -> List[Document]
 ```
 
-Returns documents containing classification result in meta field.
+Returns documents containing classification result in a meta field.
 
 Documents are updated in place.
 
 **Arguments**:
 
-- `documents`: List of Document to classify
-- `batch_size`: Number of Documents to classify at a time.
+- `documents`: A list of Documents to classify.
+- `batch_size`: The number of Documents to classify at a time.
 
 **Returns**:
 
-List of Document enriched with meta information
+A list of Documents enriched with meta information.
 
 <a id="transformers.TransformersDocumentClassifier.predict_batch"></a>
 

haystack/nodes/document_classifier/transformers.py

@@ -136,12 +136,12 @@ def __init__(
 
     def predict(self, documents: List[Document], batch_size: Optional[int] = None) -> List[Document]:
         """
-        Returns documents containing classification result in meta field.
+        Returns documents containing classification result in a meta field.
         Documents are updated in place.
 
-        :param documents: List of Document to classify
-        :param batch_size: Number of Documents to classify at a time.
-        :return: List of Document enriched with meta information
+        :param documents: A list of Documents to classify.
+        :param batch_size: The number of Documents to classify at a time.
+        :return: A list of Documents enriched with meta information.
         """
         if batch_size is None:
             batch_size = self.batch_size