Fix subprocess #5

app.py

@@ -25,7 +25,7 @@ def audio_postprocess(self, y):
     return gr_processing_utils.encode_url_or_file_to_base64(data["name"])
 
 gr.Audio.postprocess = audio_postprocess
-def vc_fn(input_audio, vc_transform, voice):
+def unused_vc_fn(input_audio, vc_transform, voice):
     if input_audio is None:
         return "You need to upload an audio", None
     sampling_rate, audio = input_audio
@@ -85,8 +85,9 @@ def run_inference(input_audio, speaker):
         stderr=subprocess.STDOUT,
         text=True
       )
-    print(result)
-    return "Success", "TODO" # (44100, out_audio.cpu().numpy())
+    out_audio, sr = torchaudio.load('out.wav')
+    print(out_audio)
+    return "Success", (44100, out_audio.cpu().numpy())
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
@@ -110,11 +111,11 @@ if __name__ == '__main__':
         with gr.Row():
             with gr.Column():
                 vc_input = gr.Audio(label="Input audio"+' (less than 20 seconds)' if limitation else '')
-                speaker = gr.Dropdown(choices=speakers, visible=True)
+                speaker = gr.Dropdown(label="Speaker", choices=speakers, visible=True)
 
                 vc_submit = gr.Button("Generate", variant="primary")
             with gr.Column():
                 vc_output1 = gr.Textbox(label="Output Message")
-                vc_output2 = gr.Textbox(label="Output 2") # Audio(label="Output Audio")
+                vc_output2 = gr.Audio(label="Output Audio") # Audio(label="Output Audio")
             vc_submit.click(run_inference, [vc_input, speaker], [vc_output1, vc_output2])
         app.queue(concurrency_count=1, api_open=args.api).launch(share=args.share)