kevinwang676 commited on
Commit
a78b481
1 Parent(s): 6bdb093

Update cosyvoice/cli/frontend.py

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Files changed (1) hide show
  1. cosyvoice/cli/frontend.py +19 -10
cosyvoice/cli/frontend.py CHANGED
@@ -21,7 +21,12 @@ import torchaudio.compliance.kaldi as kaldi
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  import torchaudio
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  import os
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  import inflect
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- import ttsfrd
 
 
 
 
 
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  from cosyvoice.utils.frontend_utils import contains_chinese, replace_blank, replace_corner_mark, remove_bracket, spell_out_number, split_paragraph
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27
 
@@ -42,18 +47,20 @@ class CosyVoiceFrontEnd:
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  option.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL
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  option.intra_op_num_threads = 1
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  self.campplus_session = onnxruntime.InferenceSession(campplus_model, sess_options=option, providers=["CPUExecutionProvider"])
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- self.speech_tokenizer_session = onnxruntime.InferenceSession(speech_tokenizer_model, sess_options=option, providers=["CUDAExecutionProvider"])
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  if os.path.exists(spk2info):
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  self.spk2info = torch.load(spk2info, map_location=self.device)
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  self.instruct = instruct
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  self.allowed_special = allowed_special
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  self.inflect_parser = inflect.engine()
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- self.frd = ttsfrd.TtsFrontendEngine()
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- ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
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- assert self.frd.initialize('{}/../../pretrained_models/speech_kantts_ttsfrd/resource'.format(ROOT_DIR)) is True, 'failed to initialize ttsfrd resource'
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- self.frd.set_lang_type('pinyin')
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- self.frd.enable_pinyin_mix(True)
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- self.frd.set_breakmodel_index(1)
 
 
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  def _extract_text_token(self, text):
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  text_token = self.tokenizer.encode(text, allowed_special=self.allowed_special)
@@ -88,7 +95,9 @@ class CosyVoiceFrontEnd:
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  def text_normalize(self, text, split=True):
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  text = text.strip()
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  if contains_chinese(text):
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- text = self.frd.get_frd_extra_info(text, 'input').replace("\n", "")
 
 
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  text = replace_blank(text)
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  text = replace_corner_mark(text)
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  text = text.replace(".", "、")
@@ -143,4 +152,4 @@ class CosyVoiceFrontEnd:
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  instruct_text_token, instruct_text_token_len = self._extract_text_token(instruct_text + '<endofprompt>')
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  model_input['prompt_text'] = instruct_text_token
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  model_input['prompt_text_len'] = instruct_text_token_len
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- return model_input
 
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  import torchaudio
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  import os
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  import inflect
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+ try:
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+ import ttsfrd
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+ use_ttsfrd = True
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+ except:
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+ print("failed to import ttsfrd, please normalize input text manually")
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+ use_ttsfrd = False
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  from cosyvoice.utils.frontend_utils import contains_chinese, replace_blank, replace_corner_mark, remove_bracket, spell_out_number, split_paragraph
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32
 
 
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  option.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL
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  option.intra_op_num_threads = 1
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  self.campplus_session = onnxruntime.InferenceSession(campplus_model, sess_options=option, providers=["CPUExecutionProvider"])
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+ self.speech_tokenizer_session = onnxruntime.InferenceSession(speech_tokenizer_model, sess_options=option, providers=["CUDAExecutionProvider"if torch.cuda.is_available() else "CPUExecutionProvider"])
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  if os.path.exists(spk2info):
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  self.spk2info = torch.load(spk2info, map_location=self.device)
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  self.instruct = instruct
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  self.allowed_special = allowed_special
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  self.inflect_parser = inflect.engine()
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+ self.use_ttsfrd = use_ttsfrd
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+ if self.use_ttsfrd:
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+ self.frd = ttsfrd.TtsFrontendEngine()
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+ ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
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+ assert self.frd.initialize('{}/../../pretrained_models/CosyVoice-ttsfrd/resource'.format(ROOT_DIR)) is True, 'failed to initialize ttsfrd resource'
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+ self.frd.set_lang_type('pinyin')
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+ self.frd.enable_pinyin_mix(True)
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+ self.frd.set_breakmodel_index(1)
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  def _extract_text_token(self, text):
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  text_token = self.tokenizer.encode(text, allowed_special=self.allowed_special)
 
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  def text_normalize(self, text, split=True):
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  text = text.strip()
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  if contains_chinese(text):
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+ if self.use_ttsfrd:
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+ text = self.frd.get_frd_extra_info(text, 'input')
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+ text = text.replace("\n", "")
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  text = replace_blank(text)
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  text = replace_corner_mark(text)
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  text = text.replace(".", "、")
 
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  instruct_text_token, instruct_text_token_len = self._extract_text_token(instruct_text + '<endofprompt>')
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  model_input['prompt_text'] = instruct_text_token
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  model_input['prompt_text_len'] = instruct_text_token_len
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+ return model_input