Update app.py

app.py

@@ -11,7 +11,7 @@ model = AutoModelForSequenceClassification.from_pretrained("guidecare/feelings_a
 all_label_names = list(model.config.id2label.values())
 
 
-def probs(text):
+def predict(text):
     probs = expit(model(**tokenizer([texts], return_tensors="pt", padding=True)).logits.detach().numpy())
     return list(zip(all_label_names, probs[0]))