Update app.py

app.py

@@ -1,9 +1,20 @@
 import gradio as gr
 import time
 from transformers import pipeline
+import torch
 
-p = pipeline("automatic-speech-recognition", 
+# Check if GPU is available
+use_gpu = torch.cuda.is_available()
+
+
+# Configure the pipeline to use the GPU if available
+if use_gpu:
+    p = pipeline("automatic-speech-recognition", 
+             model="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h", device=0)
+else:
+    p = pipeline("automatic-speech-recognition", 
              model="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h")
+    
 
 def transcribe(audio, state="", uploaded_audio=None):
     if uploaded_audio is not None: