报错信息

go
able of handling various complex tasks. Please report the progress of this project to the team members.
 > ===========================
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Traceback (most recent call last):
  File "/ssd/xd/tts/MeloTTS/x01.py", line 37, in <module>
    model.tts_to_file(text, speaker_ids['EN-US'], output_path, speed=speed)
  File "/ssd/xd/tts/MeloTTS/melo/api.py", line 100, in tts_to_file
    bert, ja_bert, phones, tones, lang_ids = utils.get_text_for_tts_infer(t, language, self.hps, device, self.symbol_to_id)
  File "/ssd/xd/tts/MeloTTS/melo/utils.py", line 23, in get_text_for_tts_infer
    norm_text, phone, tone, word2ph = clean_text(text, language_str)
  File "/ssd/xd/tts/MeloTTS/melo/text/cleaner.py", line 12, in clean_text
    phones, tones, word2ph = language_module.g2p(norm_text)
  File "/ssd/xd/tts/MeloTTS/melo/text/english.py", line 242, in g2p
    phone_list = list(filter(lambda p: p != " ", _g2p(w)))
  File "/ssd/xd/miniconda3/envs/melotts/lib/python3.10/site-packages/g2p_en/g2p.py", line 162, in __call__
    tokens = pos_tag(words)  # tuples of (word, tag)
  File "/ssd/xd/miniconda3/envs/melotts/lib/python3.10/site-packages/nltk/tag/__init__.py", line 165, in pos_tag
    tagger = _get_tagger(lang)
  File "/ssd/xd/miniconda3/envs/melotts/lib/python3.10/site-packages/nltk/tag/__init__.py", line 107, in _get_tagger
    tagger = PerceptronTagger()
  File "/ssd/xd/miniconda3/envs/melotts/lib/python3.10/site-packages/nltk/tag/perceptron.py", line 183, in __init__
    self.load_from_json(lang)
  File "/ssd/xd/miniconda3/envs/melotts/lib/python3.10/site-packages/nltk/tag/perceptron.py", line 273, in load_from_json
    loc = find(f"taggers/averaged_perceptron_tagger_{lang}/")
  File "/ssd/xd/miniconda3/envs/melotts/lib/python3.10/site-packages/nltk/data.py", line 582, in find
    raise LookupError(resource_not_found)
LookupError:
**********************************************************************
  Resource averaged_perceptron_tagger_eng not found.
  Please use the NLTK Downloader to obtain the resource:
  >>> import nltk
  >>> nltk.download('averaged_perceptron_tagger_eng')
  For more information see: https://www.nltk.org/data.html
  Attempted to load taggers/averaged_perceptron_tagger_eng/
  Searched in:
    - '/home/xd/nltk_data'
    - '/ssd/xd/miniconda3/envs/melotts/nltk_data'
    - '/ssd/xd/miniconda3/envs/melotts/share/nltk_data'
    - '/ssd/xd/miniconda3/envs/melotts/lib/nltk_data'
    - '/usr/share/nltk_data'
    - '/usr/local/share/nltk_data'
    - '/usr/lib/nltk_data'
    - '/usr/local/lib/nltk_data'
    - '/home/xd/nltk_data'
***************************************************************

解决

python代码前加这几句，开魔法执行，会下载好对应包，就不会报错了。

go
import nltk
nltk.data.path.append('/home/xd/nltk_data')  # 添加路径
nltk.download('averaged_perceptron_tagger_eng')

要有魔法才行，路径可以改为自己喜欢的，python能找到的。比如显示在这些地方找，那就选一个。