Update app.py

app.py

@@ -1,25 +1,19 @@
 import os
 os.system("hub install wav2lip==1.0.0")
-
 import gradio as gr
 import paddlehub as hub
 from pathlib import Path
-
 module = hub.Module(name="wav2lip")
-
 def inference(image,audio):
     face_input_path = image
     audio_input_path = audio
-    module.wav2lip_transfer(face=face_input_path, audio=audio_input_path, output_dir='./transfer_result/', use_gpu=False)  
-    return './transfer_result/'+Path(image).stem+".mp4"
+    module.wav2lip_transfer(face=face_input_path, audio=audio_input_path, output_dir='.', use_gpu=True)  
+    return "result.mp4"
     
 title = "Wav2lip"
-
 description = "Gradio demo for Wav2lip. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
 article = "<p style='text-align: center'><a href='https://github.com/jantic/DeOldify' target='_blank'>Github Repo</a></p>"
-
 examples=[['monatest.jpeg','as_v1_500_1.wav']]
-
 iface = gr.Interface(inference, [gr.inputs.Image(type="filepath"),gr.inputs.Audio(type="filepath")], 
 outputs=gr.outputs.Video(label="Output Video"),examples=examples,enable_queue=True,title=title,article=article,description=description)
-iface.launch()
+iface.launch(debug=True)