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from typing import List, Dict
from flair.models.language_model import LanguageModel
class PreTrainedPipeline:
def __init__(self, path=""):
from huggingface_hub import hf_hub_download
self.model = LanguageModel.load_language_model(
hf_hub_download(repo_id="dchaplinsky/flair-uk-forward", filename="best-lm.pt")
)
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.generate_text(inputs, temperature=0.5)[0]}]
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