Update app.py

app.py

@@ -2,13 +2,10 @@ import streamlit as st
 import plotly.graph_objects as go
 import networkx as nx
 import pandas as pd
-
 st.set_page_config(layout="wide")
-# Load the CSV file
-df = pd.read_csv('spices_by_cuisine_with_all_flavors.csv', index_col=0)
-
-st.dataframe(df)
 
+# Load and process data
+df = pd.read_csv('spices_by_cuisine_with_all_flavors.csv', index_col=0)
 pivot = df.drop(columns=['Flavor Description']).sort_index()
 
 cuisines = {}
@@ -22,11 +19,25 @@ for col in pivot_t.columns:
     filter = pivot_t[col] == 1
     spices[col] = pivot_t[filter].index.to_list()
 
+st.title('Spices Across Cuisines')
+
+col1, col2, col3 = st.columns(3)
+
+with col1:
+   option = st.selectbox(
+    'Select a cuisine to view the top 10 spices',cuisines.keys())
+    st.write('The top 10 ingredients in this cuisine are:', cuisines[option])
+
+with col2:
+   option = st.selectbox(
+    'Select a spice to view what cuisine it is present in',spices.keys())
+    st.write('It is part of the following cuisines::', spices[option])
+
+with col3:
+   st.header("An owl")
+   st.image("https://static.streamlit.io/examples/owl.jpg")
 
-option = st.selectbox(
-    'How would you like to be contacted?',cuisines.keys())
 
-st.write('The top 10 ingredients in this cuisine are:', cuisines[option])
 
 
 # Create a graph