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Update README.md

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@@ -35,12 +35,12 @@ The performance of the model is the following:
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  The model is provided by [vitas.ai](https://www.vitas.ai/).
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  ## Pipeline description
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- This dialouge system is composed of 2 different but linked blocks:
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  - Pretrained Llama2 Tokenizer that transforms words into subwords.
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  - Llama2 to generate the next sentence given the history of the dialogue.
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- The system is trained with dialogue from MultiWOZ corpus.
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  ## Install SpeechBrain
@@ -57,7 +57,7 @@ pip install -r recipes/MultiWOZ/response_generation/llama2/extra_requirements.tx
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  Please notice that we encourage you to read our tutorials and learn more about
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  [SpeechBrain](https://speechbrain.github.io).
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- ### Generating your Own Dialuge
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  ```python
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  from speechbrain.inference.text import Llama2ResponseGenerator
 
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  The model is provided by [vitas.ai](https://www.vitas.ai/).
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  ## Pipeline description
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+ This dialogue system is composed of 2 different but linked blocks:
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  - Pretrained Llama2 Tokenizer that transforms words into subwords.
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  - Llama2 to generate the next sentence given the history of the dialogue.
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+ The system is trained with dialogue from the MultiWOZ corpus.
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  ## Install SpeechBrain
 
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  Please notice that we encourage you to read our tutorials and learn more about
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  [SpeechBrain](https://speechbrain.github.io).
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+ ### Generating your Own Dialogue
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  ```python
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  from speechbrain.inference.text import Llama2ResponseGenerator