Update app.py

app.py

@@ -30,7 +30,7 @@ model_classes = {
 }
 
 
-@st.cache_resource
+@st.cache
 def load_t5():
     model = AutoModelForSeq2SeqLM.from_pretrained("t5-base")
 
@@ -39,7 +39,7 @@ def load_t5():
     return model, tokenizer
 
 
-@st.cache_resource
+@st.cache
 def custom_model():
     st.success("Loaded custom model")
     return pipeline("summarization", model="my_awesome_sum/")
@@ -51,13 +51,13 @@ def convert_df(df):
     return df.to_csv(index=False).encode("utf-8")
 
 
-@st.cache_resource
+@st.cache
 def load_one_line_summarizer(model):
     st.success("Loaded one line summarizer")
     return model.load_model("t5", "snrspeaks/t5-one-line-summary")
 
 
-@st.cache_resource
+@st.cache
 def classify_category():
     tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
     new_model = load_model("model")