Update src/streamlit_app.py

src/streamlit_app.py

@@ -77,7 +77,7 @@ st.set_page_config(layout="wide", page_title="Named Entity Recognition App")
 st.subheader("StoryCraft", divider="blue")
 st.link_button("by nlpblogs", "https://nlpblogs.com", type="tertiary")
 expander = st.expander("**Important notes**")
-expander.write("""**Named Entities:** This HR.ai 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"
+expander.write("""**Named Entities:** This HR.ai 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"
 
 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.      
 
@@ -85,7 +85,7 @@ Results are presented in easy-to-read tables, visualized in an interactive tree
 
 **Usage Limits:** You can request results unlimited times for one (1) month.      
 
-**Supported Languages:** English     
+**Supported Languages:** English, French, Italian, Portuguese, Spanish, German  
 
 **Technical issues:** If your connection times out, please refresh the page or reopen the app's URL. 
 
@@ -223,10 +223,13 @@ if st.button("Results"):
                     )
                     st.plotly_chart(fig_pie)
                 
+                
+
+
                 with col2:
                     st.subheader("Bar chart", divider = "blue")
                     fig_bar = px.bar(grouped_counts, x="count", y="category", color="category", text_auto=True, title='Occurrences of predicted categories')
-                    fig_pie.update_layout(
+                    fig_bar.update_layout(  # Changed from fig_pie to fig_bar
                         paper_bgcolor='#E0FFFF',
                         plot_bgcolor='#E0FFFF'
                     )