Update app.py

app.py

@@ -15,7 +15,7 @@ else:
     torch_dtype = torch.float32
 
 # load the diffusers pipeline
-repo_id = "cvssp/audioldm-m-full"
+repo_id = "cvssp/audioldm-l-full"
 pipe = AudioLDMPipeline.from_pretrained(repo_id, torch_dtype=torch_dtype).to(device)
 pipe.unet = torch.compile(pipe.unet)
 
@@ -161,7 +161,7 @@ with iface:
     gr.HTML(
         """
         <p>This is the demo for AudioLDM, powered by 🧨 Diffusers. Demo uses the checkpoint <a
-        href="https://huggingface.co/cvssp/audioldm-m-full"> audioldm-m-full </a>. For faster inference without waiting in
+        href="https://huggingface.co/cvssp/audioldm-l-full"> audioldm-l-full </a>. For faster inference without waiting in
         queue, you may duplicate the space and upgrade to a GPU in the settings. <br/> <a
         href="https://huggingface.co/spaces/haoheliu/audioldm-text-to-audio-generation?duplicate=true"> <img
         style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> <p/>