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from transformers import MarianMTModel, MarianTokenizer
import gradio as gr

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

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

# Gradio Interface
interface = gr.Interface(
    fn=translate,
    inputs=gr.Textbox(lines=5, placeholder="Enter English text here..."),
    outputs=gr.Textbox(label="Translated to Persian"),
    title="English to Persian Translator",
    description="Type text in English and get the Persian translation."
)
interface.launch()