Wootang01 commited on
Commit
99fb2bf
1 Parent(s): c61a61b

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -7
app.py CHANGED
@@ -3,7 +3,6 @@ import sentencepiece
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  import streamlit as st
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  import pandas as pd
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  import spacy
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- nlp = spacy.load("en_core_web_sm")
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  example_list = [
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@@ -13,11 +12,10 @@ st.set_page_config(layout="wide")
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  st.title("Vocabulary Categorizer")
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- model_list = ['spacy/en_core_web_sm',
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- 'xlm-roberta-large-finetuned-conll03-english']
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- st.sidebar.header("Select a vocabulary categorizer")
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- model_checkpoint = st.sidebar.radio("", model_list)
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  st.sidebar.write("Which model highlights the most vocabulary words? Which model highlights the most accurately?")
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  st.sidebar.write("")
@@ -29,8 +27,6 @@ if model_checkpoint == "xlm-roberta-large-finetuned-conll03-english":
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  aggregation = st.sidebar.radio("", ('simple', 'none'))
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  st.sidebar.write(xlm_agg_strategy_info)
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  st.sidebar.write("")
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- elif model_checkpoint == "spacy/en_core_web_sm":
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- aggregation = "none"
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  st.subheader("Select Text Input Method")
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  input_method = st.radio("", ('Select from Examples', 'Write or Paste New Text'))
 
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  import streamlit as st
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  import pandas as pd
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  import spacy
 
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  example_list = [
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  st.title("Vocabulary Categorizer")
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+ model_list = ['xlm-roberta-large-finetuned-conll03-english']
 
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+ st.sidebar.header("Vocabulary categorizer")
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+ model_checkpoint = st.sidebar.radio("xlm-roberta-large-finetuned-conll03-english")
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  st.sidebar.write("Which model highlights the most vocabulary words? Which model highlights the most accurately?")
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  st.sidebar.write("")
 
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  aggregation = st.sidebar.radio("", ('simple', 'none'))
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  st.sidebar.write(xlm_agg_strategy_info)
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  st.sidebar.write("")
 
 
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  st.subheader("Select Text Input Method")
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  input_method = st.radio("", ('Select from Examples', 'Write or Paste New Text'))