initial

generator.py

@@ -15,7 +15,8 @@ from utils.translators.translate_input import translate_input
 model_name_or_path = "flax-community/t5-recipe-generation"
 task = "text2text-generation"
 
-tokenizer = AutoTokenizer.from_pretrained(model_name_or_path)
+tokenizer = AutoTokenizer.from_pretrained(
+    model_name_or_path, cache_dir='./cache')
 generator = pipeline(task, model=model_name_or_path,
                      tokenizer=model_name_or_path)
 

utils/translators/en_ru/en_ru.py

@@ -1,8 +1,9 @@
 
 from transformers import FSMTForConditionalGeneration, FSMTTokenizer
 mname = "facebook/wmt19-en-ru"
-tokenizer = FSMTTokenizer.from_pretrained(mname)
-model = FSMTForConditionalGeneration.from_pretrained(mname)
+tokenizer = FSMTTokenizer.from_pretrained(mname, cache_dir='./cache')
+model = FSMTForConditionalGeneration.from_pretrained(
+    mname, cache_dir='./cache')
 
 
 def translator_en_ru(text):

utils/translators/en_ru/ru_en.py

@@ -1,8 +1,9 @@
 
 from transformers import FSMTForConditionalGeneration, FSMTTokenizer
 mname = "facebook/wmt19-ru-en"
-tokenizer = FSMTTokenizer.from_pretrained(mname)
-model = FSMTForConditionalGeneration.from_pretrained(mname)
+tokenizer = FSMTTokenizer.from_pretrained(mname, cache_dir='./cache')
+model = FSMTForConditionalGeneration.from_pretrained(
+    mname, cache_dir='./cache')
 
 
 def translate_ru_en(text):