Update app.py

app.py

@@ -16,7 +16,7 @@ logging.getLogger('matplotlib').setLevel(logging.WARNING)
 
 model = Svc("logs/44k/G_199200.pth", "logs/44k/config.json", cluster_model_path="logs/44k/kmeans_10000.pt")
 
-def predict(input_audio, vc_transform, not_singing,cluster_ratio, noise_scale):
+def predict(input_audio, not_singing):
     if input_audio is None:
         return "You need to upload an audio", None
     sampling_rate, audio = input_audio
@@ -38,13 +38,16 @@ def predict(input_audio, vc_transform, not_singing,cluster_ratio, noise_scale):
                                    )
     return (44100, out_audio.numpy())
 
+audio_input = gr.Audio(label="Upload Audio")
+not_singing = gr.Checkbox(label="Check this box if this audio is not singing", value=False)
+audio_output = gr.Audio(label="Output Audio")
+demo = gr.Interface(predict, inputs=[audio_input, not_singing], outputs=[audio_output])
+# app = gr.Blocks()
+# with app:
+#     audio_input = gr.Audio(label="Upload Audio")
+#     not_singing = gr.Checkbox(label="Check this box if this audio is not singing", value=False)
+#     audio_output = gr.Audio(label="Output Audio")
+#     submit_btn = gr.Button("Submit", variant="primary")
+#     submit_btn.click(predict, [audio_input, not_singing], [audio_output], api_name="predict")
 
-app = gr.Blocks()
-with app:
-    audio_input = gr.Audio(label="Upload Audio")
-    not_singing = gr.Checkbox(label="Check this box if this audio is not singing", value=False)
-    audio_output = gr.Audio(label="Output Audio")
-    submit_btn = gr.Button("Submit", variant="primary")
-    submit_btn.click(predict, [audio_input, not_singing], [audio_output], api_name="predict")
-
-app.launch()
+demo.launch()