import os
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import pynini
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from fun_text_processing.text_normalization.zh.graph_utils import (
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GraphFst,
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delete_space,
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generator_main,
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)
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from fun_text_processing.text_normalization.zh.verbalizers.postprocessor import PostProcessor
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from fun_text_processing.text_normalization.zh.verbalizers.verbalize import VerbalizeFst
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from pynini.lib import pynutil
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# import logging
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class VerbalizeFinalFst(GraphFst):
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""" """
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def __init__(
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self, deterministic: bool = True, cache_dir: str = None, overwrite_cache: bool = False
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):
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super().__init__(name="verbalize_final", kind="verbalize", deterministic=deterministic)
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far_file = None
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if cache_dir is not None and cache_dir != "None":
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os.makedirs(cache_dir, exist_ok=True)
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far_file = os.path.join(
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cache_dir, f"zh_tn_{deterministic}_deterministic_verbalizer.far"
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)
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if not overwrite_cache and far_file and os.path.exists(far_file):
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self.fst = pynini.Far(far_file, mode="r")["verbalize"]
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else:
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token_graph = VerbalizeFst(deterministic=deterministic)
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token_verbalizer = (
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pynutil.delete("tokens {")
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+ delete_space
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+ token_graph.fst
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+ delete_space
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+ pynutil.delete(" }")
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)
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verbalizer = pynini.closure(delete_space + token_verbalizer + delete_space)
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postprocessor = PostProcessor(
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remove_puncts=False,
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to_upper=False,
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to_lower=False,
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tag_oov=False,
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)
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self.fst = (verbalizer @ postprocessor.fst).optimize()
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if far_file:
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generator_main(far_file, {"verbalize": self.fst})
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