Update app.py

app.py

@@ -7,7 +7,7 @@ import matplotlib.pyplot as plt
 import datetime
 
 # Function to load stock data using yfinance
-@st.cache_data
+@st.cache_data(ttl=86400)
 def load_yfinance_data():
     # List of stock tickers
     tickers = ['TSLA', 'MSFT', 'PG', 'META', 'AMZN', 'GOOG', 'AMD', 'AAPL', 'NFLX', 'TSM',
@@ -59,10 +59,10 @@ daily_sentiment['Date'] = pd.to_datetime(daily_sentiment['Date'])
 merged_data = pd.merge(data, daily_sentiment, how='left', on=['Date', 'Stock Name'])
 
 # Fill missing sentiment values with 0 (neutral sentiment)
-merged_data['Sentiment'].fillna(0, inplace=True)
+merged_data['Sentiment'] = merged_data['Sentiment'].fillna(0)
 
 # Sort the data by date
-merged_data.sort_values(by='Date', inplace=True)
+merged_data = merged_data.sort_values(by='Date')
 
 # Create lagged features
 merged_data['Prev_Close'] = merged_data.groupby('Stock Name')['Close'].shift(1)