Update app.py

Back to wav2vec2

app.py

@@ -10,10 +10,10 @@ 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/whisper-base-faroese-8k-steps-100h", device=0)
+             model="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h", device=0)
 else:
     p = pipeline("automatic-speech-recognition", 
-             model="carlosdanielhernandezmena/whisper-base-faroese-8k-steps-100h", chunk_length_s= 50)
+             model="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h")
     
 
 def transcribe(audio, state="", uploaded_audio=None):