api_v2.py支持中英的推理吗

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api_v2.py支持中英的推理吗 用自带的预训练模型

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运行api_v2 http://200.100.100.11:9880/tts?text=你好 hello&text_lang=zh&ref_audio_path=refaudio_zh.wav&prompt_lang=zh&prompt_text=根据您的体检报告，建议您采取一种均衡的膳食营养方案，该方案包含以下几个方面&text_split_method=cut5&batch_size=1&media_type=wav&streaming_mode=true
输出为TypeError: unsupported operand type(s) for +: 'ZipFilePathPointer' and 'str'

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Traceback (most recent call last):
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/starlette/responses.py", line 253, in wrap
| await func()
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/starlette/responses.py", line 242, in stream_response
| async for chunk in self.body_iterator:
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/starlette/concurrency.py", line 62, in iterate_in_threadpool
| yield await anyio.to_thread.run_sync(_next, as_iterator)
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync
| return await get_async_backend().run_sync_in_worker_thread(
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2461, in run_sync_in_worker_thread
| return await future
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 962, in run
| result = context.run(func, *args)
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/starlette/concurrency.py", line 51, in _next
| return next(iterator)
| File "/opt/anaconda3/envs/isdh2/GPT-SoVITS/api_v2.py", line 352, in streaming_generator
| for sr, chunk in tts_generator:
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 57, in generator_context
| response = gen.send(request)
| File "/opt/anaconda3/envs/isdh2/GPT-SoVITS/GPT_SoVITS/TTS_infer_pack/TTS.py", line 1207, in run
| raise e
| File "/opt/anaconda3/envs/isdh2/GPT-SoVITS/GPT_SoVITS/TTS_infer_pack/TTS.py", line 1051, in run
| item = make_batch(item)
| File "/opt/anaconda3/envs/isdh2/GPT-SoVITS/GPT_SoVITS/TTS_infer_pack/TTS.py", line 1016, in make_batch
| phones, bert_features, norm_text = self.text_preprocessor.segment_and_extract_feature_for_text(
| File "/opt/anaconda3/envs/isdh2/GPT-SoVITS/GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py", line 120, in segment_and_extract_feature_for_text
| return self.get_phones_and_bert(text, language, version)
| File "/opt/anaconda3/envs/isdh2/GPT-SoVITS/GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py", line 175, in get_phones_and_bert
| phones, word2ph, norm_text = self.clean_text_inf(textlist[i], lang, version)
| File "/opt/anaconda3/envs/isdh2/GPT-SoVITS/GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py", line 206, in clean_text_inf
| phones, word2ph, norm_text = clean_text(text, language, version)
| File "/opt/anaconda3/envs/isdh2/GPT-SoVITS/GPT_SoVITS/text/cleaner.py", line 47, in clean_text
| phones = language_module.g2p(norm_text)
| File "/opt/anaconda3/envs/isdh2/GPT-SoVITS/GPT_SoVITS/text/english.py", line 365, in g2p
| phone_list = _g2p(text)
| File "/opt/anaconda3/envs/isdh2/GPT-SoVITS/GPT_SoVITS/text/english.py", line 273, in call
| tokens = pos_tag(words) # tuples of (word, tag)
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/nltk/tag/init.py", line 168, in pos_tag
| tagger = _get_tagger(lang)
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/nltk/tag/init.py", line 110, in _get_tagger
| tagger = PerceptronTagger()
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/nltk/tag/perceptron.py", line 183, in init
| self.load_from_json(lang)
| File "/opt/anaconda3/envs/isdh2/lib/python3.10/site-packages/nltk/tag/perceptron.py", line 274, in load_from_json
| with open(loc + TAGGER_JSONS[lang]["weights"]) as fin:
| TypeError: unsupported operand type(s) for +: 'ZipFilePathPointer' and 'str'