Update app.py

app.py

@@ -4,6 +4,12 @@ os.system('pip install streamlit_analytics')
 
 import streamlit as st
 import streamlit_analytics 
+
+try:
+    streamlit_analytics.track(load_from_json="demand.json")
+except:
+    pass
+
 # Tickers to choose from
 tickers = ['AAPL', 'AMZN', 'NIO', 'AMD', 'NVDA', 'META', 'PLUG', 'INTC', 'FORD', 'TSLA', 'GOOGL']
 
@@ -41,7 +47,7 @@ stock_names = {
 st.title("Stock Forecaster")
 
 # Create a dropdown to select a ticker
-with streamlit_analytics.track():
+with streamlit_analytics.track(save_to_json="demand.json"):
     selected_ticker = st.selectbox("Select a ticker:", tickers)
 
 # Display the image for the selected ticker
@@ -55,5 +61,5 @@ if selected_ticker:
 
 st.markdown(":warning: The content of this website is for educational purposes and is not a financial advice")
 
-st.markdown(":info: This model has been trained on the past 6 years of data until November 22nd, 2023 for each of the selected stocks. For a more comprehensive analysis with a different date range, access to thousands of stocks, hundreds of cryptocurrencies, and more up-to-date predictions, please visit our website: https://stock.quu.fr")
+st.markdown(":information_source: This model has been trained on the past 6 years of data until November 22nd, 2023 for each of the selected stocks. For a more comprehensive analysis with a different date range, access to thousands of stocks, hundreds of cryptocurrencies, and more up-to-date predictions, please visit our website: https://stock.quu.fr")