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Update src/streamlit_app.py

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  1. src/streamlit_app.py +1 -3
src/streamlit_app.py CHANGED
@@ -637,9 +637,7 @@ st.subheader("NER and Topic Analysis Report Generator", divider="rainbow")
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  st.link_button("by nlpblogs", "https://nlpblogs.com", type="secondary")
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  expander = st.expander("**Important notes**")
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  expander.write(f"""**Named Entities:** This app predicts fifteen (15) labels: {', '.join(entity_color_map.keys())}.
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- **Dependencies:** Note that **PPTX** and **image export** require the Python libraries `python-pptx`, `plotly`, and `kaleido`. If charts in the PPTX are blank, please check your environment's $\text{kaleido}$ installation/permissions.
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- **Results:** Results are compiled into a single, comprehensive **HTML report**, a **PowerPoint (.pptx) file**, and a **CSV file** for easy download and sharing.
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- **How to Use:** Type or paste your text into the text area below, then press Ctrl + Enter. Click the 'Results' button to extract entities and generate the report.""")
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  st.markdown("For any errors or inquiries, please contact us at [info@nlpblogs.com](mailto:info@nlpblogs.com)")
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  # --- Comet ML Setup (Placeholder/Conditional) ---
 
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  st.link_button("by nlpblogs", "https://nlpblogs.com", type="secondary")
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  expander = st.expander("**Important notes**")
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  expander.write(f"""**Named Entities:** This app predicts fifteen (15) labels: {', '.join(entity_color_map.keys())}.
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+ """)
 
 
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  st.markdown("For any errors or inquiries, please contact us at [info@nlpblogs.com](mailto:info@nlpblogs.com)")
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  # --- Comet ML Setup (Placeholder/Conditional) ---