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Update README.md

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@@ -27,7 +27,7 @@ The model uses an ASR model trained on LibriSpeech ([`speechbrain/asr-crdnn-rnnl
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  You can try the model on the `example_fsc.wav` file included here as follows:
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  ```python
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- from speechbrain.pretrained import EndToEndSLU
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  slu = EndToEndSLU.from_hparams("speechbrain/slu-direct-fluent-speech-commands-librispeech-asr")
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  # Text: "Please, turn on the light of the bedroom"
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  slu.decode_file("speechbrain/slu-direct-fluent-speech-commands-librispeech-asr/example_fsc.wav")
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  You can try the model on the `example_fsc.wav` file included here as follows:
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  ```python
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+ from speechbrain.inference.SLU import EndToEndSLU
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  slu = EndToEndSLU.from_hparams("speechbrain/slu-direct-fluent-speech-commands-librispeech-asr")
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  # Text: "Please, turn on the light of the bedroom"
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  slu.decode_file("speechbrain/slu-direct-fluent-speech-commands-librispeech-asr/example_fsc.wav")