Update src/streamlit_app.py

src/streamlit_app.py

@@ -41,11 +41,12 @@ with st.sidebar:
     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.")
     code = '''
     <iframe
-	src="https://aiecosystem-chainsense.hf.space"
+	src="https://aiecosystem-dataharvest.hf.space"
 	frameborder="0"
 	width="850"
 	height="450"
     ></iframe>
+
    
     '''
     st.code(code, language="html")
@@ -154,7 +155,7 @@ if st.button("Results"):
                 # Tree map
                 st.subheader("Tree map", divider = "violet")
                 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='#E8F5E9', plot_bgcolor='#E8F5E9')
+                fig_treemap.update_layout(margin=dict(t=50, l=25, r=25, b=25))
                 st.plotly_chart(fig_treemap)
                 
                 # Pie and Bar charts
@@ -167,8 +168,7 @@ if st.button("Results"):
                     fig_pie = px.pie(grouped_counts, values='count', names='category', hover_data=['count'], labels={'count': 'count'}, title='Percentage of predicted categories')
                     fig_pie.update_traces(textposition='inside', textinfo='percent+label')
                     fig_pie.update_layout(
-                        paper_bgcolor='#E8F5E9',
-                        plot_bgcolor='#E8F5E9'
+                        
                     )
                     st.plotly_chart(fig_pie)
                 
@@ -179,8 +179,7 @@ if st.button("Results"):
                     st.subheader("Bar chart", divider = "violet")
                     fig_bar = px.bar(grouped_counts, x="count", y="category", color="category", text_auto=True, title='Occurrences of predicted categories')
                     fig_bar.update_layout(  # Changed from fig_pie to fig_bar
-                        paper_bgcolor='#E8F5E9',
-                        plot_bgcolor='#E8F5E9'
+                        
                     )
                     st.plotly_chart(fig_bar)
                 
@@ -193,8 +192,7 @@ if st.button("Results"):
                     st.dataframe(repeating_entities, use_container_width=True)
                     fig_repeating_bar = px.bar(repeating_entities, x='Entity', y='Count', color='Entity')
                     fig_repeating_bar.update_layout(xaxis={'categoryorder': 'total descending'},
-                        paper_bgcolor='#E8F5E9',
-                        plot_bgcolor='#E8F5E9')
+                    )
                     st.plotly_chart(fig_repeating_bar)
                 else:
                     st.warning("No entities were found that occur more than once.")