updated ui

app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 from transformers import AutoTokenizer,AutoModelForSeq2SeqLM
 
-@st.cache(persist=True)
+@st.cache(show_spinner=False, persist=True)
 def load_model(input_complex_sentence,model):
 	
 	base_path = "flax-community/"
@@ -28,7 +28,7 @@ def main():
 	example = "Mary likes to play football in her freetime whenever she meets with her friends that are very nice people."
 	input_complex_sentence = st.text_area("Please type a long Sentence to split",example)
 
-	if st.button('✂️'):
+	if st.button('Split✂️'):
 		with st.spinner("Spliting Sentence...🧠"):
 			generated_sentence = load_model(input_complex_sentence, model)
 		st.write(generated_sentence)