Update README.md

README.md

@@ -10,8 +10,7 @@ tags:
 
 Working example of using pretrained model to predict emotion in local audio file
 
-```
-
+```python
 def predict_emotion_hubert(audio_file):
     """ inspired by an example from https://github.com/m3hrdadfi/soxan """
     from audio_models import HubertForSpeechClassification
@@ -52,8 +51,7 @@ def predict_emotion_hubert(audio_file):
     return [row for row in sorted(outputs, key=lambda x:x["score"], reverse=True) if row['score'] != '0.0%'][:2]
 ```
 
-```
-
+```python
 result = predict_emotion_hubert("male-crying.mp3")
 >>> result
 [{'emo': 'male_sad', 'score': 91.0}, {'emo': 'male_fear', 'score': 4.8}]