Update src/streamlit_app.py

src/streamlit_app.py

@@ -74,17 +74,11 @@ st.link_button("by nlpblogs", "https://nlpblogs.com", type="tertiary")
 expander = st.expander("**Important notes**")
 expander.write("""**Named Entities:** This RetailTag web app predicts eighteen (18) labels:
 "Product_Name", "Product_Type", "Brand", "Model_Number", "SKU", "Product_Attribute", "Service_Type", "Order_Number", "Monetary_Value", "Payment_Method", "Discount", "Shipping_Method", "Quantity", "Organization", "Location", "Person", "Date", "Time"
-
 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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 **How to Use:** Type or paste your text into the text area below, then press Ctrl + Enter. Click the 'Results' button to extract and tag entities in your text data.      
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 **Usage Limits:** You can request results unlimited times for one (1) month.      
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 **Supported Languages:** English 
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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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 For any errors or inquiries, please contact us at info@nlpblogs.com""")
 
 with st.sidebar:
@@ -96,7 +90,6 @@ with st.sidebar:
 	width="850"
 	height="450"
     ></iframe>
-
    
     '''
     st.code(code, language="html")