Update app.py

app.py

@@ -3,6 +3,33 @@ import pandas as pd
 import matplotlib.pyplot as plt
 # (Import other necessary libraries for visualization and Gemini API interaction)
 
+# Define Color Palette
+primary_color = "#3498db"  # Example: Bright blue
+secondary_color = "#e74c3c"  # Example: Vibrant red
+background_color = "#f0f0f0"  # Example: Light gray
+text_color = "#2c3e50"  # Example: Dark gray
+
+# Apply Styling
+st.markdown(
+    f"""
+<style>
+.stApp {{
+    background-color: {background_color};
+    color: {text_color};
+}}
+.sidebar .sidebar-content {{
+    background-color: {primary_color};
+    color: white;
+}}
+.stButton button {{
+    background-color: {secondary_color};
+    color: white;
+}}
+</style>
+""",
+    unsafe_allow_html=True,
+)
+
 st.title("Event Management Financial Forecaster")
 
 # Sidebar
@@ -23,12 +50,26 @@ venue_rental = st.sidebar.slider("Venue Rental", 0, 50000, 25000)
 
 # Main Area
 st.subheader("Projected P&L Statement")
-# (Create P&L bar chart using matplotlib or other visualization library)
+
+# Visualization Styling for P&L
+fig_pl, ax_pl = plt.subplots()
+# ... (plot P&L data)
+ax_pl.set_facecolor(background_color)
+plt.grid(color="white", linestyle="--", linewidth=0.5)
+# ... (other plot customizations)
+st.pyplot(fig_pl)
 
 st.subheader("Cash Flow Forecast")
-# (Create cash flow line chart)
 
-# (Add other visualizations for sensitivity analysis and KPIs)
+# Visualization Styling for Cash Flow
+fig_cf, ax_cf = plt.subplots()
+# ... (plot cash flow data)
+ax_cf.set_facecolor(background_color)
+plt.grid(color="white", linestyle="--", linewidth=0.5)
+# ... (other plot customizations)
+st.pyplot(fig_cf)
+
+# (Add other visualizations for sensitivity analysis and KPIs with similar styling)
 
 # Optional: AI-Powered Insights (using Gemini API)
 if gemini_api_key: