Update app.py

app.py

@@ -4,24 +4,18 @@ from wenet.cli.model import load_model
 from huggingface_hub import hf_hub_download
 import spaces
 
-
-
-
-
-
 REPO_ID = "Revai/reverb-asr"
 files = ['reverb_asr_v1.jit.zip', 'tk.units.txt']
 downloaded_files = [hf_hub_download(repo_id=REPO_ID, filename=f) for f in files]
 model = load_model(downloaded_files[0], downloaded_files[1])
     
-
-
 def process_cat_embs(cat_embs):
     device = "gpu"
     cat_embs = torch.tensor([float(c) for c in cat_embs.split(',')]).to(device)
     return cat_embs
 
 
+@spaces.GPU
 def recognition(audio, style=0):
     if not audio:
         return "Input Error! Please enter one audio!"
@@ -38,7 +32,7 @@ def recognition(audio, style=0):
 
 # Gradio UI Components
 inputs = [
-    gr.Audio(source="microphone", type="filepath", label='Input audio'),
+    gr.Audio(type="filepath", label='Input audio'),
     gr.Slider(0, 1, value=0, label="Transcription Style", info="Adjust between non-verbatim (0) and verbatim (1) transcription")
 ]