Update app.py

app.py

@@ -15,12 +15,9 @@ title = """
  """
 
 description = """
-VITS is an end-to-end speech synthesis model that predicts a speech waveform conditional on an input text sequence. It
-is a conditional variational autoencoder (VAE) comprised of a posterior encoder, decoder, and conditional prior.
+VITS is an end-to-end speech synthesis model that predicts a speech waveform conditional on an input text sequence. It is a conditional variational autoencoder (VAE) comprised of a posterior encoder, decoder, and conditional prior.
 
-This demo showcases the official VITS checkpoints, trained on the [LJ
-Speech](https://huggingface.co/kakao-enterprise/vits-ljs) and [VCTK](https://huggingface.co/kakao-enterprise/vits-vctk)
-datasets.
+This demo showcases the official VITS checkpoints, trained on the [LJSpeech](https://huggingface.co/kakao-enterprise/vits-ljs) and [VCTK](https://huggingface.co/kakao-enterprise/vits-vctk) datasets.
 """
 
 article = "Model by Jaehyeon Kim et al. from Kakao Enterprise. Code and demo by 🤗 Hugging Face."