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cf2511b
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1 Parent(s): 0d18a12

Update src/streamlit_app.py

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  1. src/streamlit_app.py +4 -6
src/streamlit_app.py CHANGED
@@ -67,8 +67,8 @@ st.subheader("Multilingual", divider="green")
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  st.link_button("by nlpblogs", "https://nlpblogs.com", type="tertiary")
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  expander = st.expander("**Important notes**")
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- expander.write("""**Named Entities:** This Multilingual predicts fifteen (15) labels:
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- "Person", "First_name", "Last_name", "Title", "Job_title", "Affiliation", "Gender", "Age", "Date", "Nationality", "Location", "City", "Country", "Role", "Relationship"
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  Results are presented in easy-to-read tables, visualized in an interactive tree map, pie chart and bar chart, and are available for download along with a Glossary of tags.
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@@ -124,8 +124,7 @@ labels = [
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  "AGE",
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  "DATE",
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- "NATIONALITY", "LOCATION",
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- "CITY", "COUNTRY", "ROLE",
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  "RELATIONSHIP"
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  ]
@@ -152,8 +151,7 @@ category_mapping = {
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  "DATE",
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  "NATIONALITY",
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- "LOCATION",
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- "CITY", "COUNTRY"
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  ],
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  "Relational": [
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  "ROLE",
 
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  st.link_button("by nlpblogs", "https://nlpblogs.com", type="tertiary")
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  expander = st.expander("**Important notes**")
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+ expander.write("""**Named Entities:** This Multilingual web app predicts fourteen (14) labels:
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+ "Person", "First_name", "Last_name", "Title", "Job_title", "Affiliation", "Gender", "Age", "Date", "Nationality", "Location", "Country", "Role", "Relationship"
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  Results are presented in easy-to-read tables, visualized in an interactive tree map, pie chart and bar chart, and are available for download along with a Glossary of tags.
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  "AGE",
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  "DATE",
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+ "NATIONALITY", "LOCATION","COUNTRY", "ROLE",
 
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  "RELATIONSHIP"
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  ]
 
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  "DATE",
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  "NATIONALITY",
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+ "LOCATION","COUNTRY"
 
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  ],
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  "Relational": [
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  "ROLE",