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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"]) | |