cache fix

corpus.py

@@ -3,6 +3,7 @@ import streamlit as st
 from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoConfig
 from ferret import Benchmark
 from torch.nn.functional import softmax
+from copy import deepcopy
 
 DEFAULT_MODEL = "cardiffnlp/twitter-xlm-roberta-base-sentiment"
 
@@ -81,6 +82,7 @@ def body():
                 return table
 
             table = compute_table(samples)
+            table = deepcopy(table)
 
         st.markdown("### Averaged metrics")
         st.dataframe(table)