streamlit python yfinance och mpfinance

import yfinance as yf
import mplfinance as mpf
import pandas as pd
import time
import streamlit as st
from threading import Thread

# https://github.com/matplotlib/mplfinance/blob/master/examples...


st.title("Candle Chart")    

# Streamlit container for the chart
chart_container = st.empty()

# Function to fetch and process data
def download_data(ticker, period="1d", interval="1m"):
    data = yf.download(ticker, period=period, interval=interval, multi_level_index=False)
    data = data[["Open", "High", "Low", "Close", "Volume"]]
    data.index = pd.to_datetime(data.index)
    return data

def create_chart(symbol_ticker):
    # Infinite loop to update the chart
    while True:
        # Clear the previous chart
        chart_container.empty()

        # Fetch the latest data
        data = download_data(symbol_ticker)

        # Create the mplfinance plot
        fig, ax = mpf.plot(
            data,
            type="candle",
            style="yahoo",
            title=f"{symbol_ticker}",
            volume=True,
            show_nontrading=False,
            returnfig=True
        )

        # Render the chart in Streamlit
        chart_container.pyplot(fig)

        # write the latest price in the streamlit app
        latest_price = data["Close"].iloc[-1]  # Get the latest closing price
        latest_time = data.index[-1]  # Get the latest time
        st.write(f"Latest Price : {latest_time} : {latest_price}")

        # Wait for 60 seconds before updating
        time.sleep(60)


if __name__ == "__main__":
    # Create the initial chart
    c1 = Thread(target=create_chart(symbol_ticker="AAPL"))
    c2 = Thread(target=create_chart(symbol_ticker="MSFT"))


    c1.start()
    c2.start()

from threading import Thread

t1 = Thread(target = firstFunction)
t2 = Thread(target = secondFunction)

t1.start()
t2.start()