app_update

app.py

@@ -9,9 +9,9 @@ import gradio as gr
 
 # Load the model and tokenizer
 # setup
-model_name = "benmanks/sentiment_analysis_trainer_model"  
+model_name = "benmanks/sentiment_analysis"  
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-sentiment")
+tokenizer = AutoTokenizer.from_pretrained("benmanks/sentiment_analysis")
 
 # Function
 def preprocess(text):