add

app.py

@@ -51,8 +51,12 @@ pipe = pipeline(
   "automatic-speech-recognition",
   model="openai/whisper-tiny.en",
   chunk_length_s=30,
-  device="cpu",
-)       
+  device=device,
+)
+       
+@spaces.GPU()
+def run_pipeline(audio):
+    return pipe(audio, batch_size=8)["text"]
 
 debug = False
 
@@ -76,7 +80,7 @@ class BaseTrainer(object):
         file_path = tmp_dir+"/tmp.lab"
         self.textgrid_path = tmp_dir + "/tmp.TextGrid"
         if not debug:
-            text = pipe(audio, batch_size=8)["text"]
+            text = run_pipeline(audio)
             with open(file_path, "w", encoding="utf-8") as file:
                 file.write(text)