Update app.py

app.py

@@ -16,6 +16,7 @@ import numpy as np
 from fpdf import FPDF
 import time
 import os
+import spaces
 
 warnings.filterwarnings("ignore")
 
@@ -37,7 +38,7 @@ def transcribe_audio(audio_file):
         output = asr(audio_file, chunk_length_s=28, generate_kwargs={"num_beams": 5, "task": "transcribe", "language": "no"})
     return output["text"]
 
-# Create Gradio interface
+# Gradio interface
 iface = gr.Interface(
     fn=transcribe_audio,
     inputs=gr.Audio(type="filepath"),
@@ -62,6 +63,8 @@ def convert_to_wav(audio_file):
     audio.export(wav_file, format="wav")
     return wav_file
 
+    
+@spaces.GPU(duration=120, queue=False)
 def transcribe_audio(audio_file, batch_size=4):
     start_time = time.time()
     # Convert .m4a to .wav