fix whisper issue

app.py

@@ -1427,8 +1427,9 @@ def stoptraining(mim):
 def transcribe_btn_click(audio_choice):
     batch_size = 1  # Adjust based on your GPU memory availability
     compute_type = "float16"
+    device = "cuda" if torch.cuda.is_available() else "cpu"
 
-    model = whisperx.load_model("large-v2", config.device, compute_type=compute_type)
+    model = whisperx.load_model("large-v2", device, compute_type=compute_type)
     pre_result = model.transcribe(audio_choice, batch_size=batch_size)
 
     # Correctly handle the transcription result based on its structure