Update app.py

app.py

@@ -27,12 +27,16 @@ 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')
 
-# 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)
+# Cache stock data for 1 day using st.cache_data
+@st.cache_data(ttl=86400)
+def load_and_cache_stock_data():
+    return load_stock_data(tickers, start_date, end_date)
+
+# Initialize stock_data once at app startup
+if "stock_data" not in st.session_state:
+    st.session_state["stock_data"] = load_and_cache_stock_data()
 
-stock_data = st.session_state['stock_data']
+stock_data = st.session_state["stock_data"]
 
 
 # Perform sentiment analysis on tweets (assuming you still have your tweets data)