python/FunASR-XL.git

			@@ -188,7 +188,7 @@
			input_content: List[Union[np.ndarray, np.ndarray]]) -> np.ndarray:
			input_dict = dict(zip(self.get_input_names(), input_content))
			try:
			return self.session.run(None, input_dict)
			return self.session.run(self.get_output_names(), input_dict)
			except Exception as e:
			raise ONNXRuntimeError('ONNXRuntime inferece failed.') from e

			@@ -215,6 +215,38 @@
			if not model_path.is_file():
			raise FileExistsError(f'{model_path} is not a file.')

			def split_to_mini_sentence(words: list, word_limit: int = 20):
			assert word_limit > 1
			if len(words) <= word_limit:
			return [words]
			sentences = []
			length = len(words)
			sentence_len = length // word_limit
			for i in range(sentence_len):
			sentences.append(words[i * word_limit:(i + 1) * word_limit])
			if length % word_limit > 0:
			sentences.append(words[sentence_len * word_limit:])
			return sentences

			def code_mix_split_words(text: str):
			words = []
			segs = text.split()
			for seg in segs:
			# There is no space in seg.
			current_word = ""
			for c in seg:
			if len(c.encode()) == 1:
			# This is an ASCII char.
			current_word += c
			else:
			# This is a Chinese char.
			if len(current_word) > 0:
			words.append(current_word)
			current_word = ""
			words.append(c)
			if len(current_word) > 0:
			words.append(current_word)
			return words

			def read_yaml(yaml_path: Union[str, Path]) -> Dict:
			if not Path(yaml_path).exists():
			@@ -226,7 +258,7 @@


			@functools.lru_cache()
			def get_logger(name='rapdi_paraformer'):
			def get_logger(name='funasr_onnx'):
			"""Initialize and get a logger by name.
			If the logger has not been initialized, this method will initialize the
			logger by adding one or two handlers, otherwise the initialized logger will