import gradio as gr
from transformers import pipeline

translator = pipeline("translation_en_to_hi", model="Helsinki-NLP/opus-mt-en-hi")

@gr.Interface(
    fn=lambda text: translator(text, max_length=400)[0]["translation_text"],
    inputs=gr.Textbox(),
    outputs=gr.Textbox()
)
def translate_text(text):
    if not text.strip():
        return "⚠️ Please provide input text."
    return translator(text, max_length=400)[0]["translation_text"]

iface = gr.Interface(fn=translate_text, inputs="text", outputs="text")
iface.queue()
iface.launch()