Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+# (Import other necessary libraries for visualization and Gemini API interaction)
+
+st.title("Event Management Financial Forecaster")
+
+# Sidebar
+gemini_api_key = st.sidebar.text_input("Google Gemini API Key")
+
+# Sliders for Revenue Variables
+st.sidebar.subheader("Revenue")
+ticket_sales = st.sidebar.slider("Ticket Sales", 0, 100000, 50000)
+# (Add sliders for other revenue variables)
+
+# Sliders for Expense Variables
+st.sidebar.subheader("Expenses")
+venue_rental = st.sidebar.slider("Venue Rental", 0, 50000, 25000)
+# (Add sliders for other expense variables)
+
+# Calculate Financial Metrics
+# (Implement the logic to calculate P&L, cash flow, sensitivity, KPIs based on slider values)
+
+# Main Area
+st.subheader("Projected P&L Statement")
+# (Create P&L bar chart using matplotlib or other visualization library)
+
+st.subheader("Cash Flow Forecast")
+# (Create cash flow line chart)
+
+# (Add other visualizations for sensitivity analysis and KPIs)
+
+# Optional: AI-Powered Insights (using Gemini API)
+if gemini_api_key:
+    st.subheader("AI-Powered Insights")
+    # (Integrate Gemini API to generate analysis and scenario simulations based on input data)