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from typing import Dict, List, Any
from nemo.collections.nlp.models import PunctuationCapitalizationModel
class PreTrainedPipeline:
def __init__(self, path=""):
# IMPLEMENT_THIS
# Preload all the elements you are going to need at inference.
# For instance your model, processors, tokenizer that might be needed.
# This function is only called once, so do all the heavy processing I/O here"""
self.model = PunctuationCapitalizationModel.from_pretrained("dchaplinsky/punctuation_uk_bert")
def __call__(self, inputs: str) -> List[Dict]:
"""
Args:
inputs (:obj:`str`):
a string containing some text
Return:
A :obj:`str`
"""
inputs = inputs.strip()
return [{"generated_text": self.model.add_punctuation_capitalization([inputs])[0]}]
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