assignment_8.py

import gradio as gr
from transformers import MarianTokenizer, MarianMTModel

# Load the translation model and tokenizer
model_name = "Helsinki-NLP/opus-mt-en-ro"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)

def translate(text):
    # Tokenize and translate the input text
    inputs = tokenizer(text, return_tensors="pt")
    translation = model.generate(**inputs)
    translated_text = tokenizer.decode(translation[0], skip_special_tokens=True)
    return translated_text

# Create a Gradio interface
app = gr.Interface(
    fn=translate,
    inputs=gr.Textbox(label="Enter an English sentence:"),
    outputs=gr.Textbox(label="Romanian Translation:"),
    live=True,
)

if __name__ == "__main__":
    app.launch()