add output example

README.md

@@ -69,6 +69,14 @@ classifier = foreign_class(
 )
 diary = classifier.diarize_file("speechbrain/emotion-diarization-wavlm-large/example.wav")
 print(diary)
+
+# {
+#    'speechbrain/emotion-diarization-wavlm-large/example.wav':
+#       [
+#          {'start': 0.0, 'end': 1.94, 'emotion': 'n'}, # n -> neutral
+#          {'start': 1.94, 'end': 4.48, 'emotion': 'h'} # h -> happy
+#       ]
+# }
 ```
 The output will contain a dictionary of emotion components and their boundaries.