Update app.py

app.py

@@ -63,9 +63,10 @@ if forecast is not None:
     st.write(f"Trend: {trend}, Damped Trend: {damped_trend}, Seasonal: {seasonal}, Seasonal Period: {seasonal_period}")
     forecast_index = pd.date_range(start=city_data.index[-1], periods=7, freq='M')[1:]
     forecast_index = forecast_index.to_period('M')  # Convert to period index with monthly frequency
-    forecast_df = pd.DataFrame(forecast, index=forecast_index, columns=['Forecast'])
+    # forecast_df = pd.DataFrame(forecast, index=forecast_index, columns=['Forecast'])
+    forecast_df = pd.DataFrame(forecast,columns=['Forecast'])
     # Ensure the index is correctly formatted as 'YYYY-MM'
-    forecast_df.index = forecast_df.index.strftime('%Y-%m')
+    # forecast_df.index = forecast_df.index.strftime('%Y-%m')
     st.table(forecast_df)
     st.line_chart(forecast_df)
 # ... [rest of the code]