Update app.py

app.py

@@ -27,7 +27,13 @@ tickers = ['TSLA', 'MSFT', 'PG', 'META', 'AMZN', 'GOOG', 'AMD', 'AAPL', 'NFLX',
 start_date = (datetime.today() - pd.DateOffset(years=1)).strftime('%Y-%m-%d')
 end_date = datetime.today().strftime('%Y-%m-%d')
 
-stock_data = load_stock_data(tickers, start_date, end_date)
+# Only load stock data once per session
+if 'stock_data' not in st.session_state:
+    with st.spinner("Loading stock data..."):
+        st.session_state['stock_data'] = load_stock_data(tickers, start_date, end_date)
+
+stock_data = st.session_state['stock_data']
+
 
 # Perform sentiment analysis on tweets (assuming you still have your tweets data)
 tweets_data = pd.read_csv('data/stock_tweets.csv')