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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +21 -24
src/streamlit_app.py
CHANGED
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@@ -475,30 +475,27 @@ st.markdown(
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st.subheader("Entity and Topic Analysis Report Generator", divider="rainbow")
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st.link_button("by nlpblogs", "https://nlpblogs.com", type="tertiary")
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expander
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**
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></iframe>
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'''
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st.code(code, language="html")
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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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st.subheader("Entity and Topic Analysis Report Generator", divider="rainbow")
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st.link_button("by nlpblogs", "https://nlpblogs.com", type="tertiary")
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tab1, tab2 = st.tabs(["Important Notes", "Embed"])
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with tab1:
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expander = st.expander("**Important notes**")
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expander.write("""**Named Entities:** This DataHarvest web app predicts nine (9) labels: "person", "country", "city", "organization", "date", "time", "cardinal", "money", "position"
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**Results:** Results are compiled into a single, comprehensive **HTML report** 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, press Ctrl + Enter, and then click the 'Results' button.
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**Technical issues:** If your connection times out, please refresh the page or reopen the app's URL.""")
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with tab2:
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with st.expander("Embed"):
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st.write("Use the following code to embed the DataHarvest web app on your website. Feel free to adjust the width and height values to fit your page.")
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code = '''
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<iframe
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src="https://aiecosystem-dataharvest.hf.space"
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frameborder="0"
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width="850"
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height="450"
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></iframe>
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'''
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st.code(code, language="html")
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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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