update model, delete sidebar

app.py

@@ -2,8 +2,8 @@ from transformers import T5ForConditionalGeneration, T5Tokenizer
 import streamlit as st
 from PIL import Image
 
-tokenizer= T5Tokenizer.from_pretrained("Voicelab/vlt5-base-keywords")
-model = T5ForConditionalGeneration.from_pretrained("Voicelab/vlt5-base-keywords")
+tokenizer= T5Tokenizer.from_pretrained("Voicelab/vlt5-base-keywords-v4_3-en")
+model = T5ForConditionalGeneration.from_pretrained("Voicelab/vlt5-base-keywords-v4_3-en")
 
 img_full = Image.open("images/vl-logo-nlp-blue.png")
 img_short = Image.open("images/sVL-NLP-short.png")
@@ -31,7 +31,6 @@ def trim_length():
 
 
 if __name__ == "__main__":
-    st.sidebar.image(img_short)
     st.image(img_full)
     st.title('VLT5 - keywords generation')