Streamlit: Running functions simultaneously with streamlit in Windows

[mint sigil]

I'm having a couple of issues running some functions simultaneously, as it spams this warning:
WARNING streamlit.runtime.scriptrunner_utils.script_run_context: Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.
There's also this:
WARNING streamlit.runtime.state.session_state_proxy: Session state does not function when running a script without `streamlit run`

E.g. I have a Training mode in my app, where it trains a detection model based on given parameters:

def training_mode():
    st.title("YOLO Model Training")

    parameter_col, graph_col = st.columns([1, 3])

    with parameter_col:
        cfg = st.text_input("Model Configuration File (e.g., yolov8-M.yaml)", "cfg/yolov8-M.yaml", key="cfg")
        data = st.text_input("Dataset YAML File", "data/Vis-DiceX2.yaml", key="data")
        epochs = st.number_input("Number of Epochs", min_value=1, max_value=500, value=150, step=10, key="epochs")
        imgsz = st.number_input("Image Size", min_value=64, max_value=1024, value=640, step=64, key="imgsz")
        batch = st.number_input("Batch Size", min_value=1, max_value=64, value=2, step=1, key="batch")
        name = st.text_input("Training Session Name", "MyTrain", key="name")

        start_training = st.button("Start Training")

    if start_training:
        st.write("Training Parameters:")
        st.write(f"Configuration File: {cfg}")
        st.write(f"Dataset: {data}")
        st.write(f"Epochs: {epochs}")
        st.write(f"Image Size: {imgsz}")
        st.write(f"Batch Size: {batch}")
        st.write(f"Session Name: {name}")

        results_file = f"runs/detect/{name}/results.csv"

        train_model(cfg, data, epochs, imgsz, batch, name, verbose=False)

        training_thread = threading.Thread(target=train_model)
        training_thread.start()

        with graph_col:
            st.title("Training Progress")
            display_training_progress(results_file)

When running this code, streamlit spams this error

This particularly occurs during a certain phase when running the training phase using ultralytics

[golden pumice]

@mint sigil
The issue you're encountering with the Streamlit warnings is likely due to the use of threading to run a background task (train_model). Streamlit doesn't support threading well for background processes because it operates on a single-threaded architecture that manages its own execution context, which conflicts with custom threads.

To resolve this, you can avoid threading and instead use an external library like multiprocessing or handle the training phase with a non-blocking callback system supported by Streamlit itself.

Here’s a safer and cleaner implementation: