Update app.py

app.py

@@ -7,9 +7,7 @@ import torch
 import transformers
 from transformers import RobertaModel, AutoTokenizer
 
-# @st.cache(hash_funcs={transformers.models.gpt2.tokenization_gpt2_fast.GPT2TokenizerFast: hash}, suppress_st_warning=True, allow_output_mutation=True)
-@st.cache(show_spinner=False, hash_funcs={transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast: hash}, 
-          suppress_st_warning=True, allow_output_mutation=True)
+# @st.cache(hash_funcs={transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast: hash}, suppress_st_warning=True, allow_output_mutation=True)
 def load():
     text_encoder = RobertaModel.from_pretrained('SajjadAyoubi/clip-fa-text')
     tokenizer = AutoTokenizer.from_pretrained('SajjadAyoubi/clip-fa-text')