Update app.py

app.py

@@ -13,7 +13,7 @@ image = Image.open("logo.webp")  # Replace 'logo.webp' with your actual WEBP fil
 st.image(image, caption="Sentiment Analysis App", use_column_width=True)
 
 # Load the model and tokenizer
-@st.cache(allow_output_mutation=True)
+@st.cache_resource
 def load_model():
     tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
     model = BertForSequenceClassification.from_pretrained("bert-base-uncased", num_labels=8)