Fix Streamlit Cloud deployment issues and deprecated pandas warnings

frontend/app.py

@@ -336,7 +336,7 @@ def create_forecast_plot(historical_data, forecast_data, title="Forecast"):
         forecast_index = pd.date_range(
             start=historical_data.index[-1] + pd.DateOffset(months=3),
             periods=len(forecast_values),
-            freq='Q'
+            freq='QE'
         )
         
         fig.add_trace(go.Scatter(
@@ -781,7 +781,7 @@ def show_advanced_analytics_page(s3_client, config):
                             # Create sample DataFrame for visualization
                             import pandas as pd
                             import numpy as np
-                            dates = pd.date_range('2020-01-01', periods=50, freq='M')
+                            dates = pd.date_range('2020-01-01', periods=50, freq='ME')
                             sample_data = pd.DataFrame({
                                 'GDPC1': np.random.normal(100, 10, 50),
                                 'INDPRO': np.random.normal(50, 5, 50),

frontend/demo_data.py

@@ -14,7 +14,7 @@ def generate_economic_data():
     # Generate date range (last 5 years)
     end_date = datetime.now()
     start_date = end_date - timedelta(days=365*5)
-    dates = pd.date_range(start=start_date, end=end_date, freq='M')
+    dates = pd.date_range(start=start_date, end=end_date, freq='ME')
     
     # Base values and trends for realistic economic data
     base_values = {
@@ -197,7 +197,7 @@ def generate_forecast_data():
     
     # Generate future dates (next 4 quarters)
     last_date = datetime.now()
-    future_dates = pd.date_range(start=last_date + timedelta(days=90), periods=4, freq='Q')
+    future_dates = pd.date_range(start=last_date + timedelta(days=90), periods=4, freq='QE')
     
     forecasts = {}
     

streamlit_app.py

@@ -14,7 +14,7 @@ if frontend_dir not in sys.path:
     sys.path.insert(0, frontend_dir)
 
 # Import and run the main app
-from app import main
+import app
 
-if __name__ == "__main__":
-    main() 
+# The app.py file already has the main() function and runs it when __name__ == "__main__"
+# We just need to import it to trigger the Streamlit app