Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import plotly.express as px
+
+# Sample DataFrame
+df = pd.DataFrame({
+    "Fruit": ["Apples", "Oranges", "Bananas", "Apples", "Oranges", "Bananas"],
+    "Amount": [4, 1, 2, 2, 4, 5],
+    "City": ["SF", "SF", "SF", "Montreal", "Montreal", "Montreal"]
+})
+
+# Create a Plotly Express figure for the bar chart
+fig_bar = px.bar(df, x="Fruit", y="Amount", color="City", barmode="group")
+
+# Create another figure for a line chart
+fig_line = px.line(df, x="Fruit", y="Amount", color="City")
+
+# Create a session state for navigation
+if 'current_step' not in st.session_state:
+    st.session_state['current_step'] = 1
+
+# Define navigation functions
+def go_to_step_1():
+    st.session_state['current_step'] = 1
+
+def go_to_step_2():
+    st.session_state['current_step'] = 2
+
+# Layout
+st.title('Interactive Dashboard with Steps')
+
+# Step navigation
+if st.session_state['current_step'] == 1:
+    st.plotly_chart(fig_bar)
+    st.button('Next Step', on_click=go_to_step_2)
+elif st.session_state['current_step'] == 2:
+    st.plotly_chart(fig_line)
+    st.button('Previous Step', on_click=go_to_step_1)