add zero spaces decorator

app.py

@@ -4,7 +4,7 @@ from transformers import AutoFeatureExtractor, WhisperModel, AutoModelForSpeechS
 import numpy as np
 import torchaudio
 import librosa
-
+import spaces
 
 import gradio as gr
 from modules import load_audio, MosPredictor, denorm
@@ -25,7 +25,7 @@ feature_extractor = AutoFeatureExtractor.from_pretrained("openai/whisper-large-v
 model_asli = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v3", torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True, attn_implementation="sdpa")  
 model_asli = model_asli.to(device)
 
-
+@spaces.GPU
 def predict_mos(wavefile:str):
     device = "cuda:0" if torch.cuda.is_available() else "cpu"
     if device != model.device:

packages.txt

@@ -0,0 +1 @@
+ffmpeg

requirements.txt

@@ -3,3 +3,4 @@ speechbrain
 librosa
 gradio
 accelerate
+spaces