Update app.py

app.py

@@ -1,24 +1,25 @@
 import os
 import gradio as gr
 from scipy.io.wavfile import write
-
-
+os.system("git clone https://github.com/tungedng2710/TonSpeech.git")
+os.system("cd TonSpeech")
 def inference(audio):
   os.makedirs("out", exist_ok=True)
   write('test.wav', audio[0], audio[1])
-  os.system("python3 -m demucs.separate -n mdx_extra_q  test.wav -o out")
+
+    
+  os.system("python se_cmgan.py --noisy  test.wav")
   return "./out/mdx_extra_q/test/vocals.wav","./out/mdx_extra_q/test/bass.wav",\
 "./out/mdx_extra_q/test/drums.wav","./out/mdx_extra_q/test/other.wav"
   
-title = "Demucs"
-description = "Gradio demo for Demucs: Music Source Separation in the Waveform Domain. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below."
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1911.13254' target='_blank'>Music Source Separation in the Waveform Domain</a> | <a href='https://github.com/facebookresearch/demucs' target='_blank'>Github Repo</a></p>"
+title = "CMGAN"
+description = "Gradio demo for cmgan: Music Source remocao de ruido "
 
 examples=[['elianap1.mp3'],['elianap2.mp3'],['elianap3.mp3']]
 gr.Interface(
     inference, 
     gr.inputs.Audio(type="numpy", label="Input"), 
-    [gr.outputs.Audio(type="file", label="Vocals"),gr.outputs.Audio(type="file", label="Bass"),gr.outputs.Audio(type="file", label="Drums"),gr.outputs.Audio(type="file", label="Other")],
+    [gr.outputs.Audio(type="file", label="Result")],
     title=title,
     description=description,
     article=article,