initial commit

app.py

@@ -7,7 +7,7 @@ from sklearn.metrics import mean_absolute_error, mean_squared_error
 from prophet.plot import plot_plotly, plot_components_plotly
 
 # List of ticker symbols
-ticker_symbols = ['RELIANCE', 'TCS', 'HDFCBANK', 'ICICIBANK', 'BHARTIARTL', 'SBIN', 'INFY', 'LICI', 'ITC', 'HINDUNILVR', 'LT', 'BAJFINANCE', 'HCLTECH', 'MARUTI', 'SUNPHARMA', 'ADANIENT', 'KOTAKBANK', 'TITAN', 'ONGC', 'TATAMOTORS', 'NTPC', 'AXISBANK', 'DMART', 'ADANIGREEN', 'ADANIPORTS', 'ULTRACEMCO', 'ASIANPAINT', 'COALINDIA', 'BAJAJFINSV', 'BAJAJ-AUTO', 'POWERGRID', 'NESTLEIND', 'WIPRO', 'M&M', 'IOC', 'JIOFIN', 'HAL', 'DLF', 'ADANIPOWER', 'JSWSTEEL', 'TATASTEEL', 'SIEMENS', 'IRFC', 'VBL', 'ZOMATO', 'PIDILITIND', 'GRASIM', 'SBILIFE', 'BEL', 'LTIM', 'TRENT', 'PNB', 'INDIGO', 'BANKBARODA', 'HDFCLIFE', 'ABB', 'BPCL', 'PFC', 'GODREJCP', 'TATAPOWER', 'HINDALCO', 'HINDZINC', 'TECHM', 'AMBUJACEM', 'INDUSINDBK', 'CIPLA', 'GAIL']
+ticker_symbols = st.secrets["TICKER_SYMBOLS"].split(",")
 
 # Function to fetch stock data from Yahoo Finance
 def fetch_stock_data(ticker_symbol, start_date, end_date):