add private model hosting with secret

app.py

@@ -1,9 +1,12 @@
 from transformers import T5ForConditionalGeneration, T5Tokenizer
 import streamlit as st
 from PIL import Image
+import os
 
-tokenizer= T5Tokenizer.from_pretrained("Voicelab/vlt5-base-keywords-v4_3-en")
-model = T5ForConditionalGeneration.from_pretrained("Voicelab/vlt5-base-keywords-v4_3-en")
+auth_token = os.environ.get("TOKEN_FROM_SECRET") or True
+
+tokenizer= T5Tokenizer.from_pretrained("Voicelab/vlt5-base-keywords-v4_3-en", use_auth_token=auth_token)
+model = T5ForConditionalGeneration.from_pretrained("Voicelab/vlt5-base-keywords-v4_3-en", use_auth_token=auth_token)
 
 img_full = Image.open("images/vl-logo-nlp-blue.png")
 img_short = Image.open("images/sVL-NLP-short.png")