runtime error

/gradio_cached_examples/15/log.csv' Traceback (most recent call last): File "app.py", line 51, in <module> gui = gr.Interface(title=title, File "/home/user/.local/lib/python3.8/site-packages/gradio/interface.py", line 599, in __init__ self.examples_handler = Examples( File "/home/user/.local/lib/python3.8/site-packages/gradio/examples.py", line 154, in __init__ self.cache_interface_examples() File "/home/user/.local/lib/python3.8/site-packages/gradio/examples.py", line 189, in cache_interface_examples raise e File "/home/user/.local/lib/python3.8/site-packages/gradio/examples.py", line 185, in cache_interface_examples prediction = self.process_example(example_id) File "/home/user/.local/lib/python3.8/site-packages/gradio/examples.py", line 205, in process_example predictions = self.fn(*processed_input) File "app.py", line 25, in few_shot nlp.add_pipe( File "/home/user/.local/lib/python3.8/site-packages/spacy/language.py", line 821, in add_pipe pipe_component = self.create_pipe( File "/home/user/.local/lib/python3.8/site-packages/spacy/language.py", line 690, in create_pipe raise ValueError(err) ValueError: [E002] Can't find factory for 'text_categorizer' 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 Transformer, make sure to install 'spacy-transformers'. 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, classy_classification, en.lemmatizer

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