Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 import torch
 from peft import PeftModel, PeftConfig
+import re
 
 base_model = "cardiffnlp/twitter-roberta-base-sentiment-latest"
 adapter_model = 'saideep-arikontham/twitter-roberta-base-sentiment-latest-trump-stance-1'
@@ -16,8 +17,9 @@ model = AutoModelForSequenceClassification.from_pretrained(base_model, num_label
 model = PeftModel.from_pretrained(model, adapter_model)
 tokenizer = AutoTokenizer.from_pretrained(adapter_model)
 
-def greet(text):
 
+
+def greet(text):
     
     model.to('cpu')
     inputs = tokenizer.encode(text, return_tensors="pt").to("cpu")