streamlit_app.py

import streamlit as st
from acodet.create_session_file import create_session_file, read_session_file
from acodet.front_end import help_strings

if not "session_started" in st.session_state:
    st.session_state.session_started = True
    create_session_file()
from acodet.front_end import (
    utils,
    st_annotate,
    st_generate_data,
    st_train,
    st_visualization,
)

utils.write_to_session_file("streamlit", True)


def select_preset():
    utils.write_to_session_file("run_config", st.session_state.run_option)
    show_run_btn = False

    if st.session_state.run_option == 1:
        show_run_btn = st_annotate.annotate_options()
    elif st.session_state.run_option == 2:
        show_run_btn = st_generate_data.generate_data_options()
    elif st.session_state.run_option == 3:
        show_run_btn = st_train.train_options()
    if show_run_btn:
        run_computions()


def run_computions(**kwargs):
    utils.next_button(id=4, text="Run computations")
    if st.session_state.b4:
        display_not_implemented_text()
        kwargs = utils.prepare_run()
        if not st.session_state.run_finished:
            import run

            st.session_state.save_dir = run.main(
                fetch_config_again=True, **kwargs
            )
            st.session_state.run_finished = True

    if st.session_state.run_finished:
        if not st.session_state.preset_option == 3:
            st.write("Computation finished")
            utils.next_button(id=5, text="Show results")
            st.markdown("""---""")
        else:
            conf = read_session_file()
            st.session_state.b5 = True
            st.session_state.save_dir = conf["generated_annotation_source"]

        if not st.session_state.b5:
            pass
        else:
            st_visualization.output()
            st.stop()


def display_not_implemented_text():
    if not st.session_state.run_option == 1:
        st.write(
            """This option is not yet implemented for usage
                    with the user interface. A headless version is
                    available at https://github.com/vskode/acodet."""
        )
        st.stop()


if __name__ == "__main__":
    
    st.markdown(
        """
        # Welcome to AcoDet - Acoustic Detection of Animal Vocalizations :loud_sound:
        ### This program is currently equipped with a humpback whale song detector for the North Atlantic :whale2:
        For more information, please visit https://github.com/vskode/acodet
        
        ---
        """
    )
    run_option = int(
        st.selectbox(
            "How would you like run the program?",
            ("1 - Inference", "2 - Generate new training data", "3 - Train"),
            key="main",
            help=help_strings.RUN_OPTION,
        )[0]
    )

    st.session_state.run_option = run_option
    select_preset()