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1 Parent(s): f9b9f54

Update src/streamlit_app.py

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  1. src/streamlit_app.py +3 -3
src/streamlit_app.py CHANGED
@@ -77,7 +77,7 @@ st.set_page_config(layout="wide", page_title="Named Entity Recognition App")
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  st.subheader("StoryCraft", divider="blue")
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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 StoryCraft predicts eighteen (18) labels: "Person", "Organization", "Location", "Date", "Time", "Quantity", "Product", "Event", "Title", "Job_title", "Artwork", "Media", "URL", "Website", "Hashtag", "Email_address", "IP_address", "File_path"
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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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@@ -119,7 +119,7 @@ if not comet_initialized:
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  st.warning("Comet ML not initialized. Check environment variables.")
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  # --- Label Definitions ---
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- labels = ["Person","Organization","Location","Date","Time","Quantity","Product","Event","Title","Job_title","Artwork","Media","URL","Website","Hashtag","Email_address","IP_address","File_path"]
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  # Corrected mapping dictionary
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@@ -127,7 +127,7 @@ labels = ["Person","Organization","Location","Date","Time","Quantity","Product",
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  category_mapping = {
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  "Core Foundational Entities": ["Person", "Organization", "Location", "Date", "Time", "Quantity"],
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  "Content Enrichment Entities": ["Product", "Event", "Title", "Job_title", "Artwork", "Media"],
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- "Digital & Technical Entities": ["URL", "Website", "Hashtag", "Email_address", "IP_address", "File_path"],
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  }
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  # --- Model Loading ---
 
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  st.subheader("StoryCraft", divider="blue")
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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 StoryCraft predicts eighteen (18) labels: "Person", "Organization", "Location", "Date", "Time", "Quantity", "Product", "Event", "Title", "Job_title", "Artwork", "Media", "URL", "Website", "Hashtag", "Email", "IP_address", "File_path"
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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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  st.warning("Comet ML not initialized. Check environment variables.")
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  # --- Label Definitions ---
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+ labels = ["Person","Organization","Location","Date","Time","Quantity","Product","Event","Title","Job_title","Artwork","Media","URL","Website","Hashtag","Email","IP_address","File_path"]
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  # Corrected mapping dictionary
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  category_mapping = {
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  "Core Foundational Entities": ["Person", "Organization", "Location", "Date", "Time", "Quantity"],
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  "Content Enrichment Entities": ["Product", "Event", "Title", "Job_title", "Artwork", "Media"],
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+ "Digital & Technical Entities": ["URL", "Website", "Hashtag", "Email", "IP_address", "File_path"],
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  }
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  # --- Model Loading ---