diff --git a/.github/actions/audiocraft_build/action.yml b/.github/actions/audiocraft_build/action.yml
index 1d32cddc..9a797723 100644
--- a/.github/actions/audiocraft_build/action.yml
+++ b/.github/actions/audiocraft_build/action.yml
@@ -21,7 +21,7 @@ runs:
       python3 -m venv env
       .  env/bin/activate
       python -m pip install --upgrade pip
-      pip install 'numpy==1.17.3' 'scipy==1.5.4' torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0
+      pip install numpy==1.23.5 torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0
       pip install xformers==0.0.22.post7
       pip install -e '.[dev,wm]'
   - name: System Dependencies
diff --git a/docs/MUSICGEN_STYLE.md b/docs/MUSICGEN_STYLE.md
index 9ed9b0f4..6814dcbe 100644
--- a/docs/MUSICGEN_STYLE.md
+++ b/docs/MUSICGEN_STYLE.md
@@ -26,6 +26,8 @@ MusicGen-Stem requires a GPU with at least 16 GB of memory for running inference
 ## Usage
 
 1. You can play with MusicGen-Style by running the jupyter notebook at [`demos/musicgen_style_demo.ipynb`](../demos/musicgen_style_demo.ipynb) locally (if you have a GPU).
+2. You can use the gradio demo locally by running python -m demos.musicgen_style_app --share.
+3. You can play with MusicGen by running the jupyter notebook at demos/musicgen_style_demo.ipynb locally (if you have a GPU).
 
 ## API
 
diff --git a/requirements.txt b/requirements.txt
index 120f9085..1ed24305 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -16,7 +16,7 @@ tqdm
 transformers>=4.31.0  # need Encodec there.
 xformers<0.0.23
 demucs
-librosa
+librosa==0.10.1
 soundfile
 gradio
 torchmetrics