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Update app.py
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app.py
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@@ -120,7 +120,7 @@ st.subheader("")
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#caching the models in the dictionary
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@st.cache(allow_output_mutation=True)
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def load_sparknlp_models():
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ner_models_list= ["nerdl_fewnerd_100d", "ner_conll_elmo", "ner_mit_movie_complex_distilbert_base_cased", "ner_conll_albert_large_uncased", "onto_100"]
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embeddings_list= ["glove_100d", "elmo", "distilbert_base_cased", "albert_large_uncased", "glove_100d_for_onto"]
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@@ -192,10 +192,10 @@ def load_sparknlp_models():
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placeholder= st.empty()
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placeholder.info("If you are launching the app for the first time, it may take some time (approximately 1 minute) for SparkNLP models to load...")
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nlp_dict= load_sparknlp_models()
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placeholder.empty()
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#caching the models in the dictionary
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@st.cache(allow_output_mutation=True, show_spinner=False)
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def load_sparknlp_models():
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ner_models_list= ["nerdl_fewnerd_100d", "ner_conll_elmo", "ner_mit_movie_complex_distilbert_base_cased", "ner_conll_albert_large_uncased", "onto_100"]
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embeddings_list= ["glove_100d", "elmo", "distilbert_base_cased", "albert_large_uncased", "glove_100d_for_onto"]
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#placeholder= st.empty()
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#placeholder.info("If you are launching the app for the first time, it may take some time (approximately 1 minute) for SparkNLP models to #load...")
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nlp_dict= load_sparknlp_models()
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#placeholder.empty()
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