app.py

import streamlit as st
st.set_page_config(layout="wide", page_title='Rock physics template v.0.1')

from load_css import local_css
#import lasio
import missingno as mno
import pandas as pd
# Local Imports
import home
import raw_data
import plotting
import header
import export_kvl
#import missingdata
#import RPT
#import GeoMechanics
import plotly.express as px

from io import StringIO

local_css("style.css")


@st.cache_data
def load_data(uploaded_file):
    if uploaded_file is not None:
        try:
            bytes_data = uploaded_file.read()
            str_io = StringIO(bytes_data.decode('Windows-1252'))
            column_name=['X','Y','Z']
            data = pd.read_csv(str_io, delim_whitespace=True, header=None)
            data.columns=column_name
            #well_data = las_file.df()
            #well_data['DEPTH'] = well_data.index

        except UnicodeDecodeError as e:
            st.error(f"error loading dat file: {e}")
    else:
        data = None

    return data


# Sidebar Options & File Uplaod
las_file=None
st.sidebar.write('# Grid file Explorer')
st.sidebar.write('To begin using the app, load your Grid file (dat format) file using the file upload option below.')

path = st.sidebar.file_uploader('Choose a grid files',  accept_multiple_files=True, type=['.dat'])
for uploadfile in path:
    data = load_data(uploadfile)
if uploadfile:
    st.sidebar.success('File Uploaded Successfully')
    #st.sidebar.write(f'<b>Data file</b>: {uploadfile}',unsafe_allow_html=True)

# Sidebar Navigation
st.sidebar.title('Navigation')
options = st.sidebar.radio('Select a page:', 
    ['Home', 'Data Information', 'Data Visualisation', 
     'Converting to KVL'])

if options == 'Home':
    home.home()
elif options == 'Data Information':
    raw_data.raw_data(uploadfile,data)
elif options == 'Data Visualisation':
    plotting.plot(data)
elif options == 'Converting to KVL':
    export_kvl.export_kvl(data)