Update app.py

app.py

@@ -208,7 +208,7 @@ nli_model = AutoModelForSequenceClassification.from_pretrained('facebook/bart-la
 tokenizer = AutoTokenizer.from_pretrained('facebook/bart-large-mnli')
 
 premise = 'A few years ago, I was juggling a demanding job, volunteer commitments, and personal relationships, all while trying to manage chronic health issues. The challenge was overwhelming at times, but I approached it by prioritizing open communication with my employer and loved ones about my limits. I learned to delegate and accept help, which was difficult for me as I usually prefer to keep the peace by handling things myself. This experience taught me the importance of setting boundaries and the strength in vulnerability.'
-hypothesis = 'This example is Helper.'
+hypothesis = 'This response is Helper personality.'
 
 # Tokenize the input text pair
 inputs = tokenizer.encode(premise, hypothesis, return_tensors='pt', truncation_strategy='only_first').to(device)