Update app.py

app.py

@@ -142,9 +142,13 @@ def greet(apikey, upload, audio, choice1):
 
     enhanced = enhance_model.enhance_batch(noisy, lengths=torch.tensor([1.]))
     torchaudio.save("enhanced.wav", enhanced.cpu(), 16000)
-    #torchaudio.save("enhanced.wav", enhanced.cpu(), sample_rate)
+    
+    voicefixer.restore(input="enhanced.wav", # input wav file path
+                    output="audio2.wav", # output wav file path
+                    cuda=True, # whether to use gpu acceleration
+                    mode = 2) # You can try out mode 0, 1, or 2 to find out the best result
 
-    return [result.text, chat_response, "enhanced.wav"]
+    return [result.text, chat_response, "audio2.wav"]
 
 c1=gr.Interface(
     fn=greet, 
@@ -159,7 +163,7 @@ c1=gr.Interface(
     ],
     #theme="huggingface",
     #title= "🥳💬💕 - TalktoAI，随时随地，谈天说地！"
-    description = "让有人文关怀的AI造福每一个人！AI向善，文明璀璨！TalktoAI - Enable the future！",
+    description = "🥳💬💕 - TalktoAI，随时随地，谈天说地！ \n🤖 - 让有人文关怀的AI造福每一个人！AI向善，文明璀璨！TalktoAI - Enable the future！",
     )
 
 
@@ -176,7 +180,7 @@ c2=gr.Interface(
     ], 
     #theme="huggingface",
     #title= "🥳💬💕 - TalktoAI，随时随地，谈天说地！"
-    description = "让有人文关怀的AI造福每一个人！AI向善，文明璀璨！TalktoAI - Enable the future！",
+    description = "🥳💬💕 - TalktoAI，随时随地，谈天说地！ \n🤖 - 让有人文关怀的AI造福每一个人！AI向善，文明璀璨！TalktoAI - Enable the future！",
     )
 
 demo = gr.TabbedInterface([c1, c2], ["wav文件上传", "麦克风上传"])