Update src/streamlit_app.py

src/streamlit_app.py

@@ -68,7 +68,7 @@ st.link_button("by nlpblogs", "https://nlpblogs.com", type="tertiary")
 expander = st.expander("**Important notes**")
 
 expander.write("""**Named Entities:** This Multilingual predicts fifteen (15) labels: 
-"Person","First_name","Last_name","Title","Job_title","Affiliation","Gender","Age","Date","Nationality","Location","City","Country","Role","Relationship"
+"Person", "First_name", "Last_name", "Title", "Job_title", "Affiliation", "Gender", "Age", "Date", "Nationality", "Location", "City", "Country", "Role", "Relationship"
 
 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.      
 
@@ -76,7 +76,7 @@ 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:** European, Asian, Indian, Arabic, African
 
 **Language settings:** Please check and adjust the language settings in your computer, so the characters of your chosen language are handled properly in your downloaded file.
 
@@ -243,7 +243,7 @@ if st.button("Results"):
                 # Tree map
                 st.subheader("Tree map", divider = "green")
                 fig_treemap = px.treemap(df, path=[px.Constant("all"), 'category', 'label', 'text'], values='score', color='category')
-                fig_treemap.update_layout(margin=dict(t=50, l=25, r=25, b=25), paper_bgcolor='#FFF8F0', plot_bgcolor='#FFF8F0')
+                fig_treemap.update_layout(margin=dict(t=50, l=25, r=25, b=25), paper_bgcolor='#F0F2F5', plot_bgcolor='#F0F2F5')
                 st.plotly_chart(fig_treemap)
                 
                 # Pie and Bar charts