app.py

import os
import pandas as pd
import streamlit as st
#from PIL import Image
from streamlit import components
from transformers import AutoModelForSequenceClassification, AutoTokenizer
from transformers_interpret import SequenceClassificationExplainer

st.title("Hello World!")

st.write(pathlib.Path.home())

st.write(pydicom)

#os.environ["TOKENIZERS_PARALLELISM"] = "false"
#logging.basicConfig(
# format="%(asctime)s : %(levelname)s : %(message)s", level=logging.INFO
#)


#def print_memory_usage():
# logging.info(f"RAM memory % used: {psutil.virtual_memory()[2]}")







print ("end of total file")