Update app.py

app.py

@@ -1,13 +1,10 @@
 import gradio as gr
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
 import torch
-from ui import title, description, examples
-#from langs import LANGS
 
 model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M")
 tokenizer = AutoTokenizer.from_pretrained("facebook/nllb-200-distilled-600M")
 
-device = 0 if torch.cuda.is_available() else -1
 
 src_lang = 'som_Latn'
 tgt_lang = "eng_Latn"
@@ -17,8 +14,7 @@ def translate(text):
                                     model=model,
                                     tokenizer=tokenizer,
                                     src_lang=src_lang,
-                                    tgt_lang=tgt_lang,
-                                    device=device)
+                                    tgt_lang=tgt_lang)
 
     result = translation_pipeline(text)
     return result[0]['translation_text']