!pip install gradio transformers
import gradio as gr
from transformers import pipeline
translator = pipeline("translation", model="facebook/nllb-200-distilled-600M")
def translate_text(text, src_lang, tgt_lang): 
    translation = translator(text, src_lang=src_lang, tgt_lang=tgt_lang)
    return translation[0]['translation_text']
languages = {
             "English": "eng_Latn",
             "French": "fra_Latn", 
             "Arabic": "arb", 
             "Spanish": "spa_Latn", 
             "German": "deu_Latn",
             "Chinese": "zho_Hans" 
             }
iface = gr.Interface(
    fn=translate_text,
    inputs=[
        gr.Textbox(label="Input Text"), 
        gr.Dropdown(choices=list(languages.keys()), label="Source Language", value="English"), 
        gr.Dropdown(choices=list(languages.keys()), label="Target Language", value="French") 
        ],
        outputs=gr.Textbox(label="Translated Text"),
        title="Translation using NLLB-200" 
        ) 
iface.launch()