Streamlit Unhashable TypeError when i use st.cache - huggingface-transformers

Question

when i use the st.cache decorator to cash hugging-face transformer model i get
Unhashable TypeError
this is the code
from transformers import pipeline
import streamlit as st
from io import StringIO
#st.cache(hash_funcs={StringIO: StringIO.getvalue})
def model() :
return pipeline("sentiment-analysis", model='akhooli/xlm-r-large-arabic-sent')

Answer 1

after searching in issues section in streamlit repo
i found that hashing argument is not required , just need to pass this argument
allow_output_mutation = True

Answer 2

This worked for me:
from transformers import pipeline
import tokenizers
import streamlit as st
import copy
#st.cache(hash_funcs={tokenizers.Tokenizer: lambda _: None, tokenizers.AddedToken: lambda _: None})
def get_model() :
return pipeline("sentiment-analysis", model='akhooli/xlm-r-large-arabic-sent')
input = st.text_input('Text')
bt = st.button("Get Sentiment Analysis")
if bt and input:
model = copy.deepcopy(get_model())
st.write(model(input))
Note 1:
calling the pipeline with input model(input) changes the model and we shouldn't change a cached value so we need to copy the model and run it on the copy.
Note 2:
First run will load the model using the get_model function next run will use the chace.
Note 3:
You can read more about Advanced caching in stremlit in thier documentation.
Output examples: