import streamlit as st
from data_utils import *
import xarray as xr
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pickle
import glob, os
import re
import tensorflow as tf
import netCDF4
import copy
import string
import h5py
from tqdm import tqdm
grid_info = xr.open_dataset('ClimSim_low-res_grid-info.nc')
input_mean = xr.open_dataset('input_mean.nc')
input_max = xr.open_dataset('input_max.nc')
input_min = xr.open_dataset('input_min.nc')
output_scale = xr.open_dataset('output_scale.nc')

data = data_utils(grid_info = grid_info,
                  input_mean = input_mean,
                  input_max = input_max,
                  input_min = input_min,
                  output_scale = output_scale)

data.set_to_v1_vars()



st.markdown('Streamlit ')