force download tkn

app.py

@@ -1,9 +1,8 @@
 import gradio as gr
 import torch
 from transformers import NllbTokenizer, AutoModelForSeq2SeqLM
-
-
 MODEL_URL = 'slone/nllb-rus-tyv-v1'
+# tokenizer = NllbTokenizer.from_pretrained(MODEL_URL, force_download=True)
 
 
 lang_to_code = {
@@ -78,9 +77,12 @@ def translate_wrapper(text, src, trg, correct=None):
 
 
 article = """
-Please wait until I publish all the details.
+This is a NLLB-200-600M model fine-tuned for translation between Russian and Tyvan (Tuvan) languages,
+using the data from https://tyvan.ru/.
+
+**More details will be published soon!**
 
-Please translate one sentence at a time; the model is not working adequately with multiple sentences!
+__Please translate one sentence at a time; the model is not working adequately with multiple sentences!__
 """
 
 
@@ -101,7 +103,7 @@ if __name__ == '__main__':
     model = AutoModelForSeq2SeqLM.from_pretrained(MODEL_URL)
     if torch.cuda.is_available():
         model.cuda()
-    tokenizer = NllbTokenizer.from_pretrained(MODEL_URL)
+    tokenizer = NllbTokenizer.from_pretrained(MODEL_URL, force_download=True)
     fix_tokenizer(tokenizer)
 
     interface.launch()