from Packages import * st.set_page_config(page_title="NIRS Utils", page_icon=":goat:", layout="wide",) from Modules import * from Class_Mod.DATA_HANDLING import * # page_element=""" # <style> # [data-testid="stAppViewContainer"]{ # background-image: url("https://www.cefe.cnrs.fr/templates/rt_zephyr/images/backgrounds/img-sky.jpg"); # background-size: cover; # } # </style> # """ # st.markdown(page_element, unsafe_allow_html=True) add_header() add_sidebar(pages_folder) st.markdown( """ <style> [data-testid="stAppViewContainer"]{ background-image: url("https://www.cefe.cnrs.fr/templates/rt_zephyr/images/backgrounds/img-sky.jpg"); background-size: cover; } .header1 { color: black; } .green { color: green; } .centered-text { text-align: center; color: black;} .header1 { color: black;font-size: 70px;font-family: monospace; } .header2 { color: rgb(74,165,41); } .header3 { color: green; } .blackfont {color: black;} button { height: auto;border-color:black; width = 40px; padding-top: 10px !important; padding-bottom: 10px !important;} </style> """, unsafe_allow_html=True ) from PIL import Image # Page header with st.container(): st.subheader("Plateforme d'Analyses Chimiques pour l'Ecologie-PACE :goat:") # st.markdown("#### Welcome to") st.markdown(""" <h1 class="header1">Easily process <br> your spectral data<br> with <span class="green">NIRS Utils</span></h1> """, unsafe_allow_html=True) for i in range(5): 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.title("welcome to NIRS Utils") 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) #for easing the spectral data processing. # st.markdown("We could add documentation here") # st.write("Samples selection (PCA, [UMAP](https://umap-learn.readthedocs.io/en/latest/how_umap_works.html), ...), Predictive Modelling ([Pinard](https://github.com/GBeurier/pinard), [LWPLSR](https://doi.org/10.1002/cem.3209), ...), and Predictions using your data (CSV or DX files) and/or PACE NIRS Database.") with mm2: # st.title("welcome to NIRS Utils") 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) for i in range(3): header1, header2, header3,header4 = st.columns(4) 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')