Update app.py

app.py

@@ -3,14 +3,76 @@ import pandas as pd
 import plotly.graph_objects as go
 
 # Sample data for the radar chart
-categories = ['Strategy & Innovation', 'Customer Experience', 'Organization & People', 
-              'Operations', 'Risk & Cybersecurity', 'Finance, Tax & Legal', 'Data & Technology']
-values = [0.8, 0.6, 0.7, 0.5, 0.4, 0.3, 0.9]
+data = {
+    'Strategy & Innovation': 0.7,
+    'Customer Experience': 0.6,
+    'Organization & People': 0.5,
+    'Operations': 0.4,
+    'Risk & Cybersecurity': 0.3,
+    'Finance, Tax & Legal': 0.2,
+    'Data & Technology': 0.8
+}
 
-# Create a DataFrame for the radar chart
-df = pd.DataFrame(dict(
+categories = list(data.keys())
+values = list(data.values())
+
+# Create a DataFrame for the sidebar
+df_sidebar = pd.DataFrame({
+    'Stage': ['Ideating', 'Experimenting', 'Optimizing', 'Transforming', 'Leading'],
+    'Description': [
+        'Researching generative AI’s capabilities and considering how it might benefit organization',
+        'Pilot projects or proofs-of-concept to validate the technology’s feasibility are conducted',
+        'A strategic plan is developed and generative AI solutions are in the process of integrating',
+        'Solutions are integrated into most of initiatives and currently refining to transform the organization',
+        'Fully integrated and scaled solutions across the organization with processes and capabilities to sustain and evolve'
+    ]
+})
+
+# Streamlit app
+st.title("Generative AI Maturity Assessment for Your Organization")
+
+# Sidebar
+st.sidebar.header("Overview")
+st.sidebar.write(df_sidebar)
+
+# Main content
+st.subheader("Radar Chart")
+
+fig = go.Figure()
+
+fig.add_trace(go.Scatterpolar(
     r=values,
-    theta=categories))
+    theta=categories,
+    fill='toself',
+    name='Your Organization'
+))
+
+fig.update_layout(
+    polar=dict(
+        radialaxis=dict(
+            visible=True,
+            range=[0, 1]
+        )),
+    showlegend=False
+)
+
+st.plotly_chart(fig)
+
+# Pie chart for maturity stages
+st.subheader("Maturity Stages")
+
+maturity_data = {
+    'Ideating': 0.1,
+    'Experimenting': 0.3,
+    'Optimizing': 0.2,
+    'Transforming': 0.2,
+    'Leading': 0.2
+}
+
+labels = list(maturity_data.keys())
+sizes = list(maturity_data.values())
+
+fig_pie = go.Figure(data=[go.Pie(labels=labels, values=sizes)])
+fig_pie.update_layout(title='Overall, your organization’s GenAI maturity is in the Experimenting stage')
 
-# Create the radar chart
-fig = go
+st.plotly_chart(fig_pie)