Update app.py

app.py

@@ -1,17 +1,17 @@
-#import asyncio
-#import gc
-#import logging
 import os
-
 import pandas as pd
-#import psutil
 import streamlit as st
 #from PIL import Image
 from streamlit import components
-#from streamlit.caching import clear_cache
 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
@@ -22,18 +22,6 @@ from transformers_interpret import SequenceClassificationExplainer
 #    logging.info(f"RAM memory % used: {psutil.virtual_memory()[2]}")
 
 
-@st.cache(allow_output_mutation=True, suppress_st_warning=True, max_entries=1)
-
-def load_model(model_name):
-    return (
-        AutoModelForSequenceClassification.from_pretrained(model_name),
-        AutoTokenizer.from_pretrained(model_name),
-    )
-
-print ("before main")
-
-
-st.title("Transformers Interpet Demo App")