Update app.py

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 import spaces
-from transformers import T5Tokenizer, T5ForConditionalGeneration, AutoTokenizer, AutoModelForSeq2SeqLM
+from transformers import T5Tokenizer, T5ForConditionalGeneration, AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
 
 langs = {"English": "en", "Romanian": "ro", "German": "de", "French": "fr", "Spanish": "es", "Italian": "it"}
 options = list(langs.keys())
@@ -26,6 +26,9 @@ def translate_text(input_text, sselected_language, tselected_language, model_nam
         model_name_full = "facebook/nllb-200-distilled-1.3B"
         tokenizer = AutoTokenizer.from_pretrained(model_name_full)
         model = AutoModelForSeq2SeqLM.from_pretrained(model_name_full)
+        translator = pipeline('translation', model=model, tokenizer=tokenizer, src_lang='eng_Latn', tgt_lang='ron_Latn')
+        translated_text = translator(text, max_length<=360)
+        return translated_text
     else:
         tokenizer = T5Tokenizer.from_pretrained(model_name)
         model = T5ForConditionalGeneration.from_pretrained(model_name, device_map="auto")