import gradio as gr
from transformers import MBartForConditionalGeneration, MBart50TokenizerFast

model = MBartForConditionalGeneration.from_pretrained("SnypzZz/Llama2-13b-Language-translate")
tokenizer = MBart50TokenizerFast.from_pretrained("SnypzZz/Llama2-13b-Language-translate", src_lang="en_XX")

dropdown = gr.Dropdown(["de_DE", "es_XX", "fr_XX", "sv_SE", "ru_RU"], label="Choose Output Language")

def execute(input, dropdown_value):
    model_inputs = tokenizer(input, return_tensors="pt")
    generated_tokens = model.generate(
        **model_inputs,
        forced_bos_token_id=tokenizer.lang_code_to_id[dropdown_value]
    )
    output = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]
    output = output.strip("[]' ") 
    return output

iface = gr.Interface(fn=execute, inputs=["textbox", dropdown], outputs="textbox")
iface.launch()