poltys

import pandas as pd
import streamlit as st
import pymysql
from sqlalchemy import create_engine

st.sidebar.header('User Input Parameters')

date = pd.datetime.today()

server = st.sidebar.text_input('Server Name', '')

poltys

import zipfile
import tempfile

stream = st.file_uploader('TF.Keras model file (.h5py.zip)', type='zip')
if stream is not None:
  myzipfile = zipfile.ZipFile(stream)
  with tempfile.TemporaryDirectory() as tmp_dir:
    myzipfile.extractall(tmp_dir)
    root_folder = myzipfile.namelist()[0] # e.g. "model.h5py"
    model_dir = os.path.join(tmp_dir, root_folder)

poltys

# in a given folder read all json files and map the columns in a dataframe

import pandas as pd
import os, json
import glob
import numpy as np

def read_path(path):
    folder_name = path
    all_files = glob.glob(path + "/*.json")

poltys

import pandas as pd
import os
import glob
import io
import xml.etree.ElementTree as ET

def read_path(path):
    folder_name=path
    all_files = glob.glob(path + "/*.xml")
    files=[]