Session Storage plus Azure help

Using Streamlit
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import streamlit as st
import azure.cognitiveservices.speech as speechsdk

chunks = []
recognizer= None
subscription_key = "y"
service_region = "x"
speech_config = speechsdk.SpeechConfig(subscription=subscription_key, region=service_region)
audio_config = speechsdk.AudioConfig(use_default_microphone=True)

def recognized_callback(evt):
    global chunks
    k = False
    global recognizer
    while not k:
        if evt.result.reason == speechsdk.ResultReason.RecognizedSpeech:
            rec_text =evt.result.text
            if "Stop Muse" in rec_text :
                k = True
                print(f"Recognized End: {rec_text}")
                recognizer.stop_continuous_recognition() 
                st.session_state['endResults'] = chunks
                exit()

            else:
                chunks.append(rec_text)
                print(f"Recognized: {rec_text}")
                exit()

def main():
    global recognizer
    if 'endResults' not in st.session_state.keys():
     st.session_state['endResults'] = []
    
    st.title("Azure Speech Service with Streamlit")
    #st.button("Start")
    st.write("Speak into your microphone.")
    
   
    if st.button("Start"):
        recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config)
        recognizer.recognized.connect(recognized_callback)
        recognizer.start_continuous_recognition()

    k=0
 
if __name__ == "__main__":
    main()
    print(st.session_state['endResults'])

I keep getting 2024-06-06 20:21:38.948 Thread ‘Dummy-1’: missing ScriptRunContext
2024-06-06 20:21:38.949 Thread ‘Dummy-1’: missing ScriptRunContext (With using session storage) but I don’t know what I am doing, these re renders make Azures continuous recognition useless, should I use something else outside of streamlit?

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