Update app.py

app.py

@@ -33,7 +33,7 @@ def predict(speech_array, sampling_rate):
         logits = model.to(device)(**inputs).logits
 
     scores = F.softmax(logits, dim=1).detach().cpu().numpy()[0]
-    outputs = {config.id2label[i]: f"{round(score * 100, 3):.1f}%" for i, score in enumerate(scores)}
+    outputs = {config.id2label[i]: round(score * 100, 3) for i, score in enumerate(scores)}
     return outputs