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Update README.md

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@@ -19,16 +19,16 @@ metrics:
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  widget:
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  - example_title: Caribe-Colombia-Cuba
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  src: >-
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- https://huggingface.co/Jzuluaga/accent-id-commonaccent_xlsr-spanish/resolve/main/data/caribe-cuba-colombia.wav
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  - example_title: Andino
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  src: >-
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- https://huggingface.co/Jzuluaga/accent-id-commonaccent_xlsr-spanish/resolve/main/data/andino.wav
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  - example_title: Mexico
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  src: >-
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- https://huggingface.co/Jzuluaga/accent-id-commonaccent_xlsr-spanish/resolve/main/data/mexico.wav
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  - example_title: Spain
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  src: >-
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- https://huggingface.co/Jzuluaga/accent-id-commonaccent_xlsr-spanish/resolve/main/data/spain.wav
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  ---
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@@ -96,14 +96,14 @@ Please notice that we encourage you to read our tutorials and learn more about
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  import torchaudio
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  from speechbrain.pretrained.interfaces import foreign_class
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- classifier = foreign_class(source="Jzuluaga/accent-id-commonaccent_xlsr-spanish", pymodule_file="custom_interface.py", classname="CustomEncoderWav2vec2Classifier")
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  # Cuban Accent Example
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- out_prob, score, index, text_lab = classifier.classify_file('Jzuluaga/accent-id-commonaccent_xlsr-spanish/data/mexico.wav')
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  print(text_lab)
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  # Caribbean Example
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- out_prob, score, index, text_lab = classifier.classify_file('Jzuluaga/accent-id-commonaccent_xlsr-spanish/data/caribe-cuba-colombia.wav')
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  print(text_lab)
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  ```
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  widget:
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  - example_title: Caribe-Colombia-Cuba
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  src: >-
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+ https://huggingface.co/Jzuluaga/accent-id-commonaccent_xlsr-es-spanish/resolve/main/data/caribe-cuba-colombia.wav
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  - example_title: Andino
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  src: >-
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+ https://huggingface.co/Jzuluaga/accent-id-commonaccent_xlsr-es-spanish/resolve/main/data/andino.wav
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  - example_title: Mexico
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  src: >-
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+ https://huggingface.co/Jzuluaga/accent-id-commonaccent_xlsr-es-panish/resolve/main/data/mexico.wav
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  - example_title: Spain
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  src: >-
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+ https://huggingface.co/Jzuluaga/accent-id-commonaccent_xlsr-es-spanish/resolve/main/data/spain.wav
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  ---
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  import torchaudio
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  from speechbrain.pretrained.interfaces import foreign_class
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+ classifier = foreign_class(source="Jzuluaga/accent-id-commonaccent_xlsr-es-spanish", pymodule_file="custom_interface.py", classname="CustomEncoderWav2vec2Classifier")
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  # Cuban Accent Example
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+ out_prob, score, index, text_lab = classifier.classify_file('Jzuluaga/accent-id-commonaccent_xlsr-es-spanish/data/mexico.wav')
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  print(text_lab)
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  # Caribbean Example
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+ out_prob, score, index, text_lab = classifier.classify_file('Jzuluaga/accent-id-commonaccent_xlsr-es-spanish/data/caribe-cuba-colombia.wav')
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  print(text_lab)
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  ```
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