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import streamlit as st
from transformers import pipeline, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-vi-en")
translator = pipeline("translation_vi_to_en", model="Helsinki-NLP/opus-mt-vi-en")
st.title("Demo translation with pretrained model")
input_text = st.text_area("Nhập văn bản tiếng Việt:", "")
if input_text:
encoded_text = tokenizer(input_text, return_tensors="pt", padding=True, truncation=True)
translated_text = translator(input_text)
st.write("Translation Vietnamese to English:")
st.write(translated_text[0]["translation_text"])
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