Anna Sun commited on
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update README

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@@ -15,16 +15,19 @@ You can simply duplicate the space to run it.
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  ## Running locally
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  ### Install backend seamless_server dependencies
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- Please note: we *strongly* recommend running the model on GPU.
 
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- If running for the first time, create conda environment and install the desired torch version. The example below is for PyTorch 2.1.1 and variant cu118. Check [here](https://pytorch.org/get-started/locally/) to find the command for your variant. Then install the rest of the requirements:
 
 
 
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  ```
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  cd seamless_server
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- conda create --name smlss_server python=3.8
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  conda activate smlss_server
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- conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
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  pip install -r requirements.txt
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- conda install -c conda-forge libsndfile==1.0.31
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  ```
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  ### Install frontend streaming-react-app dependencies
 
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  ## Running locally
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  ### Install backend seamless_server dependencies
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+ > [!NOTE]
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+ > Please note: we *do not* recommend running the model on CPU. CPU inference will be slow and introduce noticable delays in the simultaneous translation.
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+ > [!NOTE]
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+ > The example below is for PyTorch stable (2.1.1) and variant cu118. Check [here](https://pytorch.org/get-started/locally/) to find the command for your variant.
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+
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+ If running for the first time, create conda environment and install the desired torch version. Then install the rest of the requirements:
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  ```
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  cd seamless_server
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+ conda create --yes --name smlss_server python=3.8 libsndfile==1.0.31
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  conda activate smlss_server
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+ conda install --yes pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
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  pip install -r requirements.txt
 
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  ```
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  ### Install frontend streaming-react-app dependencies