4-inputs.py

from Packages import *
st.set_page_config(page_title="NIRS Utils", page_icon=":goat:", layout="wide",)
st.session_state["interface"] = st.session_state.get('interface')
#""" if st.session_state["interface"] == 'simple':
#    hide_pages("Predictions") """
from Modules import *
from Class_Mod.DATA_HANDLING import *


#Import Header
add_header()

pages_folder = Path("pages/")


# Initialize session state
if 'form_submitted' not in st.session_state:
    st.session_state['form_submitted'] = False


# Page header
with st.container():

    # Text input fields
    with st.form(key='my_form'):


        st.header("Fill in your details:",divider="blue")


        col1, col3,col2 = st.columns((2,0.5,2))



        with col1:
            st.header("Groupe 2",divider="blue")

            meta_project = st.text_input('Project name :', 'Life of Brian')
            meta_machine_ID = st.text_input('NIRS ID :', 'Life of Brian')
            meta_scan_place_options = ["Pace", "Other"]
            meta_scan_place = st.radio("If relevant, sample species :", meta_scan_place_options)


            meta_sample_species = st.text_input('If relevant, sample species :', 'Life of Brian')




        with col2:
            st.header("Groupe 3",divider="blue")
            meta_sample_category_options = ["Soil", "Plant", "Animal", "Other"]
            meta_sample_category = st.radio("Sample category description :", meta_sample_category_options)

            meta_sample_sub_category_options = ["Green leave", "Leaf litter", "Litter", "Humus", "Soil", "Animal part", "Animal Powder", "Fungal sample", "Other"]
            meta_sample_sub_category = st.radio("Sample category description :", meta_sample_sub_category_options)
            meta_sample_humidity_options = ["Dry", "Fresh", "Wet"]
            meta_sample_humidity = st.radio("Humidity state of the sample:", meta_sample_humidity_options)

            meta_sample_pretreatment_options = ["Powder", "Pastile", "Liquid"]
            meta_sample_pretreatment = st.radio("Type of sample pre-treatment :", meta_sample_pretreatment_options)



        submitted = st.form_submit_button(label='Send')




    if submitted:

            # Save the form data here
            st.session_state['form_submitted'] = True
            st.success('Form sent successfully!', icon="✅")

            # Création du dictionnaire avec les données du formulaire
            form_data = {
                "meta_project": meta_project,
                "meta_sample_species": meta_sample_species,
                "meta_sample_category": meta_sample_category,
                "meta_sample_pretreatment": meta_sample_pretreatment,
                "meta_machine_ID": meta_machine_ID,
                "meta_sample_sub_category": meta_sample_sub_category,
                "meta_sample_humidity": meta_sample_humidity,
                "meta_scan_place": meta_scan_place
            }

            # Enregistrement des données dans un fichier JSON
            with open('form_data.json', 'w') as json_file:
                json.dump(form_data, json_file)

            with st.container():
                        if st.session_state['interface'] == 'simple':
                            header3, header4 = st.columns(2)
                            if header3.button("Samples Selection"):
                                st.switch_page(pages_folder / '1-samples_selection.py')
                            if header4.button("Model Creation"):
                                st.switch_page(pages_folder / '2-model_creation.py')
                        elif st.session_state['interface'] == 'advanced':
                            header3, header4, header5 = st.columns(3)
                            if header3.button("Samples Selection"):
                                st.switch_page(pages_folder / '1-samples_selection.py')
                            if header4.button("Model Creation"):
                                st.switch_page(pages_folder / '2-model_creation.py')
                            if header5.button("Prediction"):
                                st.switch_page(pages_folder / '3-prediction.py')