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| from transformers import MarianTokenizer, MarianMTModel | |
| import streamlit as st | |
| tokenizer = MarianTokenizer.from_pretrained("BlackKakapo/opus-mt-ro-en") | |
| model = MarianMTModel.from_pretrained("BlackKakapo/opus-mt-ro-en") | |
| # Streamlit app | |
| st.title("Romanian to English Translator") | |
| # Input text | |
| input_text = st.text_area("Enter text in Romanian:") | |
| # Translate button | |
| if st.button("Translate"): | |
| if input_text: | |
| # Tokenize the input text | |
| inputs = tokenizer(input_text, return_tensors="pt", padding=True) | |
| # Perform translation | |
| translated_tokens = model.generate(**inputs) | |
| translation = tokenizer.decode(translated_tokens[0], skip_special_tokens=True) | |
| st.write("Translation:") | |
| st.write(translation) | |
| else: | |
| st.write("Please enter some text to translate.") |