Update README.md

README.md

@@ -31,6 +31,7 @@ widget:
 <iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
 <br/><br/>
 
+
 # CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voice
 
 
@@ -56,6 +57,8 @@ The provided system can recognize the following 16 accents from short speech rec
 <a href="https://github.com/JuanPZuluaga/accent-recog-slt2022"> <img alt="GitHub" src="https://img.shields.io/badge/GitHub-Open%20source-green"> </a> Github repository link: https://github.com/JuanPZuluaga/accent-recog-slt2022
 
 
+**NOTE**: we do not provide the Inference API, because we need a new class for Inference. Please, follow the steps in **"Perform Accent Identification from Speech Recordings"** to use this Spanish Accent ID model.
+
 For a better experience, we encourage you to learn more about
 [SpeechBrain](https://speechbrain.github.io). The given model performance on the test set is:
 
@@ -85,13 +88,15 @@ Please notice that we encourage you to read our tutorials and learn more about
 
 ```python
 import torchaudio
-from speechbrain.pretrained import EncoderClassifier
-classifier = EncoderClassifier.from_hparams(source="Jzuluaga/accent-id-commonaccent_xlsr-spanish", savedir="pretrained_models/accent-id-commonaccent_xlsr-spanish")
+from speechbrain.pretrained.interfaces import foreign_class
+
+classifier = foreign_class(source="Jzuluaga/accent-id-commonaccent_xlsr-spanish", pymodule_file="custom_interface.py", classname="CustomEncoderWav2vec2Classifier")
+
 # Cuban Accent Example
 out_prob, score, index, text_lab = classifier.classify_file('Jzuluaga/accent-id-commonaccent_xlsr-spanish/data/mexico.wav')
 print(text_lab)
 
-# Caribean Example
+# Caribbean Example
 out_prob, score, index, text_lab = classifier.classify_file('Jzuluaga/accent-id-commonaccent_xlsr-spanish/data/caribe-cuba-colombia.wav')
 print(text_lab)
 ```