| from transformers import AutoTokenizer, pipeline | |
| import gradio as grad | |
| mdl_name = "Helsinki-NLP/opus-mt-en-de" | |
| opus_translator = pipeline("translation", model=mdl_name) | |
| def translate(text): | |
| response = opus_translator(text) | |
| return response | |
| grad.Interface(translate, inputs=["text",], outputs="text").launch() | |