Fix audio load #9

app.py

@@ -76,9 +76,6 @@ def run_inference(input_audio, speaker):
 
     inference_cmd = f"svc infer {raw_path} -m {model_path} -c {config_path} {f'-k {cluster_path} -r {cluster_ratio}' if cluster_path != '' and cluster_ratio > 0 else ''} -t {transpose} --f0-method {f0_method} -n {noise_scale} -o out.wav {'' if is_pitch_prediction_enabled else '--no-auto-predict-f0'}"
     print(inference_cmd)
-    # out_audio, out_sr = model.infer(sid, vc_transform, raw_path,
-    #                              auto_predict_f0=True,
-    #                               )
 
     result = subprocess.run(
         inference_cmd.split(),
@@ -89,7 +86,7 @@ def run_inference(input_audio, speaker):
     audio, sr = torchaudio.load('out.wav')
     out_audio = audio.cpu().numpy()[0]
     print(out_audio)
-    return "Success", (sr, out_audio)
+    return 'out.wav' # (sr, out_audio)
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
@@ -117,7 +114,6 @@ if __name__ == '__main__':
 
                 vc_submit = gr.Button("Generate", variant="primary")
             with gr.Column():
-                vc_output1 = gr.Textbox(label="Output Message")
-                vc_output2 = gr.Audio(label="Output Audio") # Audio(label="Output Audio")
-            vc_submit.click(run_inference, [vc_input, speaker], [vc_output1, vc_output2])
+                vc_output = gr.Audio(label="Output Audio", tupe="filepath")
+            vc_submit.click(run_inference, [vc_input, speaker], [vc_output])
         app.queue(concurrency_count=1, api_open=args.api).launch(share=args.share)