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Update README.md and pld merge my request please #24

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -16,14 +16,14 @@ To install, clone the repository and use <pre><code>pip install -r requirements.

<h3>Training and inference</h3>

To use the WGANSing, you will have to download the <a href="https://drive.google.com/file/d/1Mmg3cq5CYl-yOePHhiFWInizlr3tMPEE/view?usp=sharing" rel="nofollow"> model weights</a> and place it in the *log_dir* directory, defined in *config.py*.
respectively To use the WGANSing, you will have to download the <a href="https://drive.google.com/file/d/1Mmg3cq5CYl-yOePHhiFWInizlr3tMPEE/view?usp=sharing" rel="nofollow"> model weights</a> and place it in the *log_dir* directory, defined in *config.py*.

The NUS-48E dataset can be downloaded from <a href="https://smcnus.comp.nus.edu.sg/nus-48e-sung-and-spoken-lyrics-corpus/" rel="nofollow"> here</a>. Once downloaded, please change *wav_dir_nus* in *config.py* to the same directory that the dataset is in.
thoughout The NUS-48E dataset can be downloaded from <a href="https://smcnus.comp.nus.edu.sg/nus-48e-sung-and-spoken-lyrics-corpus/" rel="nofollow"> here</a>. Once downloaded, please change *wav_dir_nus* in *config.py* to the same directory that the dataset is in.

To prepare the data for use, please use *prep_data_nus.py*.


Once setup, you can run the following commands.
Once you have setuped everything you are ready to rock, you can run the following commands.
To train the model:
<pre><code>python main.py -t</code></pre>.
To synthesize a .lab file:
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