help me with this code error:

────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ in <cell line: 3>:3                                                                              │
│                                                                                                  │
│ /usr/local/lib/python3.10/dist-packages/textdescriptives/extractors.py:169 in extract_metrics    │
│                                                                                                  │
│   166 │   │   nlp.add_pipe("textdescriptives/all")                                               │
│   167 │   else:                                                                                  │
│   168 │   │   for component in metrics:                                                          │
│ ❱ 169 │   │   │   nlp.add_pipe(f"textdescriptives/{component}")                                  │
│   170 │                                                                                          │
│   171 │   if isinstance(text, str):                                                              │
│   172 │   │   text = [text]                                                                      │
│                                                                                                  │
│ /usr/local/lib/python3.10/dist-packages/spacy/language.py:821 in add_pipe                        │
│                                                                                                  │
│    818 │   │   │   │   factory_name, source, name=name                                           │
│    819 │   │   │   )                                                                             │
│    820 │   │   else:                                                                             │
│ ❱  821 │   │   │   pipe_component = self.create_pipe(                                            │
│    822 │   │   │   │   factory_name,                                                             │
│    823 │   │   │   │   name=name,                                                                │
│    824 │   │   │   │   config=config,                                                            │
│                                                                                                  │
│ /usr/local/lib/python3.10/dist-packages/spacy/language.py:690 in create_pipe                     │
│                                                                                                  │
│    687 │   │   │   │   lang=util.get_object_name(self),                                          │
│    688 │   │   │   │   lang_code=self.lang,                                                      │
│    689 │   │   │   )                                                                             │
│ ❱  690 │   │   │   raise ValueError(err)                                                         │
│    691 │   │   pipe_meta = self.get_factory_meta(factory_name)                                   │
│    692 │   │   # This is unideal, but the alternative would mean you always need to              │
│    693 │   │   # specify the full config settings, which is not really viable.                   │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
ValueError: [E002] Can't find factory for 'textdescriptives/information theory' for language English (en). This 
usually happens when spaCy calls `nlp.create_pipe` with a custom component name that's not registered on the 
current language class. If you're using a custom component, make sure you've added the decorator 
`@Language.component` (for function components) or `@Language.factory` (for class components).

Available factories: attribute_ruler, tok2vec, merge_noun_chunks, merge_entities, merge_subtokens, token_splitter, 
doc_cleaner, parser, beam_parser, lemmatizer, trainable_lemmatizer, entity_linker, entity_ruler, tagger, 
morphologizer, ner, beam_ner, senter, sentencizer, spancat, spancat_singlelabel, span_finder, future_entity_ruler, 
span_ruler, textcat, textcat_multilabel, textdescriptives/coherence, textdescriptives/dependency_distance, 
textdescriptives/descriptive_stats, textdescriptives/pos_proportions, textdescriptives/quality, 
textdescriptives/readability, textdescriptives/information_theory, textdescriptives/all, en.lemmatizer

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