| 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") | |
| def d(input): | |
| model_inputs = tokenizer(input, return_tensors="pt") | |
| generated_tokens = model.generate( | |
| **model_inputs, | |
| forced_bos_token_id=tokenizer.lang_code_to_id["de_DE"] | |
| ) | |
| output_DE = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True) | |
| return output_DE | |
| iface = gr.Interface(fn=d, inputs="text", outputs="text") | |
| iface.launch() |