from Packages import * st.set_page_config(page_title="NIRS Utils", page_icon=":goat:", layout="wide",) # from Modules import * from mod import * # from utils.DATA_HANDLING import * from PIL import Image import base64 background_img(change=None) add_header() # add_sidebar(pages_folder) # local_css(css_file / "style_app.css") # replace the md <style> code # Page header with st.container(): st.subheader("Plateforme d'Analyses Chimiques pour l'Ecologie-PACE :goat:") st.markdown(""" <h1 class="header1">Easily process <br> your spectral data<br> with <span class="green">NIRS Utils</span></h1> """, unsafe_allow_html=True) st.markdown(' \n \n \n \n \n') mm1s, mmd2 = st.columns([2,2]) image = Image.open("images/general.JPG") new_image = image.resize((700, 400)) mmd2.image(new_image) mm1,mm, mm2=st.columns([2,1.5,2]) with mm1: st.markdown('<h2 class="centered-text">About</h2>', unsafe_allow_html=True) st.markdown('<h3 class="centered-text"> NIRS Utils is a powerful tool that was developed to ease the spectral data processing process. It benifits from the synergy between web and data science frameworks to offer a user-friendly interface featured a variety of analytical capabilities. Further information can be found here.</h3>', unsafe_allow_html=True) with mm2: st.markdown('<h2 class="centered-text">Key Features</h2>', unsafe_allow_html=True) st.markdown('<h3 class="centered-text"> Our app featured a variety of analytical capabilities that makes it the optimal solution for spectral data processing : <br> - Easy-to-use. <br> - Use advanced frameworks. <br> - Enhanced automation capabilities. <br> - Saves your time and efforts.</h3>', unsafe_allow_html=True) st.markdown(' \n \n \n \n \n') header1, header2, header3,header4 = st.columns(4) if header1.button("Inputs"): st.switch_page(pages_folder / '4-inputs.py') if header2.button("Samples Selection"): st.switch_page(pages_folder / '1-samples_selection.py') if header3.button("Models Creation"): st.switch_page(pages_folder / '2-model_creation.py') if header4.button("Predictions"): st.switch_page(pages_folder / '3-prediction.py')