Update app.py

app.py

@@ -56,7 +56,9 @@ with col3:
     st.write(f'{select_cuisine_sim} is most similar to:', cuisine_similarity[select_cuisine_sim].sort_values(ascending=False).index[1:11].to_list())
 
 
-
+count = pd.DataFrame(pivot.T.sum().sort_values(ascending=False).reset_index().rename(columns={0: "Count"}))
+fig_bar = px.bar(count, x="Spice", y="Count")
+st.plotly_chart(fig_bar, use_container_width=True)
 
 # Create a graph
 G = nx.Graph()
@@ -144,7 +146,7 @@ for node in G.nodes():
         node_trace_spices['hovertext'] += tuple([hover_text])
 
 # Create the network graph figure with updated hover information
-fig = go.Figure(data=[edge_trace, node_trace_cuisines, node_trace_spices],
+fig_graph = go.Figure(data=[edge_trace, node_trace_cuisines, node_trace_spices],
                 layout=go.Layout(
                     title="Network Graph of Cuisines and their Spices",
                     titlefont_size=16,
@@ -155,4 +157,4 @@ fig = go.Figure(data=[edge_trace, node_trace_cuisines, node_trace_spices],
                     yaxis=dict(showgrid=False, zeroline=False, showticklabels=False))
                 )
 
-st.plotly_chart(fig, use_container_width=True)
+st.plotly_chart(fig_graph, use_container_width=True)