Update app.py

app.py

@@ -15,10 +15,10 @@ model = AutoModelForCausalLM.from_pretrained(
     torch_dtype=torch.bfloat16  # Usa bf16 como en el ejemplo original
 )
 
-languages = [ "Spanish", "Catalan", "English", "French", "German", "Italian", "Portuguese", "Euskera", "Galician",
-             "Bulgarian", "Czech", "Lithuanian", "Croatian", "Dutch", "Romanian", "Danish", "Greek", "Finnish",
-             "Hungarian", "Slovak", "Slovenian", "Estonian", "Polish", "Latvian", "Swedish", "Maltese",
-             "Irish", "Aranese", "Aragonese", "Asturian" ]
+languages = [ 'Aragonese', 'Asturian', 'Basque', 'Bulgarian', 'Catalan', 'Valencian', 'Croatian', 'Czech', 'Danish', 'Dutch', 'English', 'Estonian', 
+             'Finnish', 'French', 'Galician', 'German', 'Greek', 'Hungarian', 'Irish', 'Italian', 'Latvian', 'Lithuanian', 'Maltese', 'Norwegian Bokmål', 
+             'Norwegian Nynorsk', 'Occitan', 'Aranese', 'Polish', 'Portuguese', 'Romanian', 'Russian', 'Serbian', 'Slovak', 'Slovenian', 'Spanish', 'Swedish', 
+             'Ukrainian', 'Welsh' ]
 
 example_sentence = ["Ahir se'n va anar, va agafar les seves coses i es va posar a navegar."]