Update README.md (#1)

- Update README.md (d11cf7f21beb90421d3d575b7ee9a077fb7bdd83)

README.md

@@ -24,7 +24,8 @@ result is generated music that is more diverse while staying faithful to the cor
 
 - [**🧨 Diffusers Pipeline**](https://huggingface.co/docs/diffusers/api/pipelines/musicldm)
 - [**Paper**](https://huggingface.co/papers/2308.01546)
-- [**Demo**](https://huggingface.co/spaces/cvssp/musicldm)
+- [**Demo**](https://musicldm.github.io)
+- [**Try It!!**](https://huggingface.co/spaces/ircam-reach/musicldm-text-to-music)
 
 # Usage
 
@@ -86,7 +87,7 @@ import torch
 from diffusers import MusicLDMPipeline
 
 # load the pipeline
-repo_id = "cvssp/musicldm"
+repo_id = "ircam-reach/musicldm"
 pipe = MusicLDMPipeline.from_pretrained(repo_id, torch_dtype=torch.float16)
 pipe = pipe.to("cuda")
 
@@ -116,7 +117,7 @@ scipy.io.wavfile.write("techno.wav", rate=16000, data=audio[0])
 ```
 @article{chen2023musicldm,
   title={"MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies"},
-  author={Chen, Ke and Wu, Yusong and Liu, Haohe and Nezhurina, Marianna and Berg-Kirkpatrick, Taylor and Dubnov, Shlomo},
+  author={Chen*, Ke and Wu*, Yusong and Liu*, Haohe and Nezhurina, Marianna and Berg-Kirkpatrick, Taylor and Dubnov, Shlomo},
   journal={arXiv preprint arXiv:2308.01546},
   year={2023}
 }