app.py

import streamlit as st
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

# Initialize tokenizer and model
model_name = "your_hugging_face_model_name_or_url"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)

def translate(text):
    # Tokenize the text
    input_ids = tokenizer.batch_encode_plus([text], return_tensors="pt")["input_ids"]

    # Generate the translation
    outputs = model.generate(input_ids, max_length=100)

    # Decode the translation
    translation = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]

    return translation

def main():
    # Get the user's input
    text = st.text_input("Enter a Russian text to translate:")

    # Translate the text
    translation = translate(text)

    # Display the translation
    st.text(translation)

if __name__ == "__main__":
    main()