utilising ZeroGPU

app.py

@@ -3,10 +3,10 @@ import torch
 from huggingface_hub import hf_hub_download
 from moshi.models import loaders, LMGen
 import numpy as np
+import spaces
 
 
-
-
+@spaces.GPU
 def process_wav_new(in_wav):
     """wav = torch.randn(1, 1, 24000 * 10)  # should be [B, C=1, T]"""
 
@@ -156,4 +156,4 @@ Monologue” method significantly improves the linguistic quality of generated s
                 elem_id="citation-button",
                 show_copy_button=True,
             )
-demo.launch(debug=True, share=True)
+demo.launch(debug=True)

requirements.txt

@@ -3,4 +3,5 @@ gradio==4.44.0
 triton==3.0.0
 torchaudio>=2.2.0+cu121
 --extra-index-url https://download.pytorch.org/whl/cu113
-torch
+torch
+spaces