Update README.md

README.md

@@ -50,15 +50,16 @@ The code will automatically normalize your audio (i.e., resampling + mono channe
 First of all, please install the **development** version of SpeechBrain with the following command:
 
 ```
-pip install speechbrain
+git clone https://github.com/speechbrain/speechbrain.git
+cd speechbrain
+pip install -r requirements.txt
+pip install --editable .
 ```
 
 Please notice that we encourage you to read our tutorials and learn more about
 [SpeechBrain](https://speechbrain.github.io).
 
-### Perform Speech Emotion Diarization
-
-An external `py_module_file=custom.py` is used as an external Predictor class into this HF repos. We use `foreign_class` function from `speechbrain.pretrained.interfaces` that allows you to load your custom model. 
+### Perform Speech Emotion Diarization 
 
 ```python
 from speechbrain.pretrained.interfaces import Speech_Emotion_Diarization
@@ -75,6 +76,17 @@ print(diary)
 #          {'start': 1.94, 'end': 4.48, 'emotion': 'h'} # h -> happy
 #       ]
 # }
+
+diary = classifier.diarize_file("speechbrain/emotion-diarization-wavlm-large/example_sad.wav")
+print(diary)
+
+# {
+#    'speechbrain/emotion-diarization-wavlm-large/example_sad.wav':
+#        [
+#          {'start': 0.0, 'end': 3.54, 'emotion': 's'}, # s -> sad
+#          {'start': 3.54, 'end': 5.26, 'emotion': 'n'} # n -> neutral
+#        ]
+# }
 ```
 The output will contain a dictionary of emotion components and their boundaries.