Update app.py

app.py

@@ -8,7 +8,7 @@ nltk.download('stopwords')
 nltk.download('wordnet')
 
 # Initialize the zero-shot classification pipeline
-classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
+classifier = pipeline("zero-shot-classification", model="Fralet/personality")
 
 # Define the candidate labels according to the Enneagram types
 default_labels = ["Peacemaker", "Loyalist", "Achiever", "Reformer", "Individualist", "Helper", "Challenger", "Investigator", "Enthusiast"]