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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 *

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# 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)

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add_header()
add_sidebar(pages_folder)

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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:")

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# 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")

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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):

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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')