pleonova commited on
Commit
f974572
1 Parent(s): e1f0266

Update model caching

Browse files
Files changed (1) hide show
  1. models.py +3 -3
models.py CHANGED
@@ -28,7 +28,7 @@ def create_nest_sentences(document:str, token_max_length = 1024):
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  return nested
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  # Reference: https://github.com/MaartenGr/KeyBERT
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- @st.cache(allow_output_mutation=True)
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  def load_keyword_model():
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  kw_model = KeyBERT()
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  return kw_model
@@ -45,7 +45,7 @@ def keyword_gen(kw_model, sequence:str):
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  # Reference: https://huggingface.co/facebook/bart-large-mnli
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- @st.cache(allow_output_mutation=True)
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  def load_summary_model():
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  model_name = "facebook/bart-large-cnn"
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  summarizer = pipeline(task='summarization', model=model_name)
@@ -82,7 +82,7 @@ def summarizer_gen(summarizer, sequence:str, maximum_tokens:int, minimum_tokens:
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  # Reference: https://huggingface.co/spaces/team-zero-shot-nli/zero-shot-nli/blob/main/utils.py
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- @st.cache(allow_output_mutation=True)
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  def load_model():
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  model_name = "facebook/bart-large-mnli"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
 
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  return nested
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  # Reference: https://github.com/MaartenGr/KeyBERT
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+ @st.cache_resource
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  def load_keyword_model():
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  kw_model = KeyBERT()
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  return kw_model
 
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  # Reference: https://huggingface.co/facebook/bart-large-mnli
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+ @st.cache_resource
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  def load_summary_model():
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  model_name = "facebook/bart-large-cnn"
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  summarizer = pipeline(task='summarization', model=model_name)
 
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  # Reference: https://huggingface.co/spaces/team-zero-shot-nli/zero-shot-nli/blob/main/utils.py
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+ @st.cache_resource
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  def load_model():
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  model_name = "facebook/bart-large-mnli"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)