Update README.md

README.md

@@ -66,7 +66,7 @@ def predict(path, sampling_rate):
         logits = model(**inputs).logits
 
     scores = F.softmax(logits, dim=1).detach().cpu().numpy()[0]
-    outputs = [{"Emotion": config.id2label[i], "Score": f"{round(score * 100, 3):.1f}%"} for i, score in enumerate(scores)]
+    outputs = [{"Label": config.id2label[i], "Score": f"{round(score * 100, 3):.1f}%"} for i, score in enumerate(scores)]
     return outputs
 ```