Update app.py

app.py

@@ -7,7 +7,7 @@ import torch
 import transformers
 from transformers import RobertaModel, AutoTokenizer
 
-# @st.cache(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')
@@ -75,7 +75,7 @@ def main():
                 unsafe_allow_html=True)
     st.sidebar.markdown(description)
     _, c, _ = st.columns((1, 3, 1))
-    query = c.text_input('', value='clouds at sunset')
+    query = c.text_input('', value='غروب خورشید')
     if len(query) > 0:
         results = image_search(query)
         st.markdown(get_html(results), unsafe_allow_html=True)