Update app.py

app.py

@@ -59,8 +59,8 @@ def classify_toxicity(audio_file, text_input, classify_anxiety):
 
     device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
 
-    text_classifier = pipeline("zero-shot-classification", model="MoritzLaurer/mDeBERTa-v3-base-mnli-xnli")
-    
+    text_classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
+
     sequence_to_classify = transcribed_text
     print(classify_anxiety, class_options)
     candidate_labels = class_options.get(classify_anxiety, [])