add spaces library

app.py

@@ -1,3 +1,4 @@
+import spaces
 import time
 import os
 
@@ -20,7 +21,9 @@ if LANGUAGE not in SUPPORTED_LANGUAGES:
 else:
     MODEL_PATH = MODEL_PATHS[LANGUAGE]
 
-wave2vec_pipeline = pipeline(
+@spaces.GPU
+def init_pipeline():
+    return pipeline(
     "automatic-speech-recognition",
     model=MODEL_PATH,
     device=0 if torch.cuda.is_available() else -1,
@@ -30,6 +33,8 @@ wave2vec_pipeline = pipeline(
     token=os.getenv("HF_TOKEN"),
 )
 
+wave2vec_pipeline = init_pipeline()
+
 
 def transcribe_gradio(audio_path: str | None) -> str:
     """