initial

generator.py

@@ -16,7 +16,7 @@ model_name_or_path = "flax-community/t5-recipe-generation"
 task = "text2text-generation"
 
 tokenizer = AutoTokenizer.from_pretrained(
-    model_name_or_path, cache_dir=r'C:\Users\pezol\OneDrive\Desktop\django_projects\spaces_chefGen\ChefGen\cache')
+    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

@@ -2,9 +2,9 @@
 from transformers import FSMTForConditionalGeneration, FSMTTokenizer
 mname = "facebook/wmt19-en-ru"
 tokenizer = FSMTTokenizer.from_pretrained(
-    mname, cache_dir=r'C:\Users\pezol\OneDrive\Desktop\django_projects\spaces_chefGen\ChefGen\cache')
+    mname, cache_dir='../../cache')
 model = FSMTForConditionalGeneration.from_pretrained(
-    mname, cache_dir='./cache')
+    mname, cache_dir='../../cache')
 
 
 def translator_en_ru(text):

utils/translators/en_ru/ru_en.py

@@ -2,9 +2,9 @@
 from transformers import FSMTForConditionalGeneration, FSMTTokenizer
 mname = "facebook/wmt19-ru-en"
 tokenizer = FSMTTokenizer.from_pretrained(
-    mname, cache_dir=r'C:\Users\pezol\OneDrive\Desktop\django_projects\spaces_chefGen\ChefGen\cache')
+    mname, cache_dir='../../cache')
 model = FSMTForConditionalGeneration.from_pretrained(
-    mname, cache_dir='./cache')
+    mname, cache_dir='../../cache')
 
 
 def translate_ru_en(text):