Update app.py

app.py

@@ -4,7 +4,7 @@ from transformers import T5Tokenizer, T5ForConditionalGeneration, AutoTokenizer,
 
 langs = {"English": "en", "Romanian": "ro", "German": "de", "French": "fr", "Spanish": "es", "Italian": "it"}
 options = list(langs.keys())
-models = ["Helsinki-NLP", "t5-base", "t5-small", "t5-large", "facebook/nllb-200-distilled-1.3B"]
+models = ["Helsinki-NLP", "t5-base", "t5-small", "t5-large", "nllb-200-distilled-1.3B"]
 
 @spaces.GPU
 def translate_text(input_text, sselected_language, tselected_language, model_name):
@@ -22,7 +22,10 @@ def translate_text(input_text, sselected_language, tselected_language, model_nam
                 model = AutoModelForSeq2SeqLM.from_pretrained(model_name_full)
             except EnvironmentError as error:
                 return f"Error finding required model! Try other available language combination. Error: {error}"
-                
+    elif model_name.startswith('nllb'):
+        model_name_full = "facebook/nllb-200-distilled-1.3B"
+        tokenizer = AutoTokenizer.from_pretrained(model_name_full)
+        model = AutoModelForSeq2SeqLM.from_pretrained(model_name_full)
     else:
         tokenizer = T5Tokenizer.from_pretrained(model_name)
         model = T5ForConditionalGeneration.from_pretrained(model_name, device_map="auto")