Update app.py

app.py

@@ -6,8 +6,8 @@ from transformers import pipeline
 classifier = pipeline(task="zero-shot-audio-classification", model="mskov/roberta-base-toxicity")
 classifier = pipeline(model="mskov/roberta-base-toxicity")
 
-text = "Kederis proclaims innocence Olympic champion Kostas Kederis today left hospital ahead of his date with IOC inquisitors claiming his innocence and vowing: quot;After the crucifixion comes the resurrection. quot; .."
-result = classifier(text)
+audio =  "./test/candy-bar-chewing.wav"
+classifier(audio, candidate_labels=["Sound of a dog", "Sound of vaccum cleaner", "chewing", "sneezing"])
 
 predicted_label = result[0]["label"]
 print(f"Predicted label: {predicted_label}")