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import streamlit as st
from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
translator = pipeline("translation", model="Helsinki-NLP/opus-mt-en-ru")
def translate_text(text):
if text:
result = translator(text)
return result[0]['translation_text']
return ""
st.title("Text Translation App")
st.subheader("Enter text to translate:")
user_input = st.text_area("Your text here:", height=200)
if st.button("Translate"):
translation = translate_text(user_input)
st.subheader("Translated Text:")
st.write(translation)
else:
st.info("Enter text and click 'Translate' to see the result.")
if __name__ == '__main__':
import streamlit.web.cli as stcli
stcli.main()
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