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Runtime error
| import gradio as gr | |
| from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline | |
| import torch | |
| from ui import title, description | |
| from langs import LANGS | |
| TASK = "translation" | |
| CKPT = "facebook/nllb-200-distilled-600M" | |
| model = AutoModelForSeq2SeqLM.from_pretrained(CKPT) | |
| tokenizer = AutoTokenizer.from_pretrained(CKPT) | |
| device = 0 if torch.cuda.is_available() else -1 | |
| def translate(text, src_lang, tgt_lang, max_length=400): | |
| """ | |
| Translate the text from source lang to target lang | |
| """ | |
| translation_pipeline = pipeline(TASK, | |
| model=model, | |
| tokenizer=tokenizer, | |
| src_lang=src_lang, | |
| tgt_lang=tgt_lang, | |
| max_length=max_length, | |
| device=device) | |
| result = translation_pipeline(text) | |
| return result[0]['translation_text'] | |
| gr.Interface( | |
| translate, | |
| [ | |
| gr.inputs.Textbox(label="Text"), | |
| gr.inputs.Dropdown(label="Source Language", choices=LANGS), | |
| gr.inputs.Dropdown(label="Target Language", choices=LANGS), | |
| gr.inputs.Slider(label="Max Length", minimum=8, | |
| maximum=512, value=400, step=8) | |
| ], | |
| ["text"], | |
| # examples=examples, | |
| # article=article, | |
| cache_examples=False, | |
| title=title, | |
| description=description | |
| ).launch() | |