import gradio as gr
from transformers import MarianMTModel, MarianTokenizer

# Load the model and tokenizer for English-to-Italian translation
model_name = "Helsinki-NLP/opus-mt-en-it"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)

# Translation function
def translate_to_italian(text):
    inputs = tokenizer(text, return_tensors="pt", truncation=True)
    outputs = model.generate(**inputs)
    translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return translated_text

# Set up Gradio Interface
iface = gr.Interface(
    fn=translate_to_italian,
    inputs="text",
    outputs="text",
    title="English to Italian Translator",
    description="Enter English text to get the Italian translation."
)

# Launch the interface
iface.launch(share=True)