Update app.py

app.py

@@ -3,8 +3,13 @@ import transformers
 import torch
 
 # Load the model and tokenizer
-model = transformers.AutoModelForSequenceClassification.from_pretrained("RICHARDMENSAH/twitter_xlm_roberta_base")
-tokenizer = transformers.AutoTokenizer.from_pretrained("RICHARDMENSAH/twitter_xlm_roberta_base")
+#model = transformers.AutoModelForSequenceClassification.from_pretrained("RICHARDMENSAH/twitter_xlm_roberta_base")
+# tokenizer = transformers.AutoTokenizer.from_pretrained("RICHARDMENSAH/twitter_xlm_roberta_base")
+
+model_name = "RICHARDMENSAH/twitter_xlm_roberta_base"
+tokenizer_name = "RICHARDMENSAH/twitter_xlm_roberta_base"
+
+model = transformers.pipeline("text-classification", model=model_name, tokenizer=tokenizer_name)
 
 # Define the function for sentiment analysis
 @st.cache_resource