Update app.py

app.py

@@ -122,21 +122,10 @@ def evaluate(
 
     res1 = ' '.join(str(x) for x in res)
     
-    tts.tts_to_file(res1, speaker_wav = upload, language="en", file_path="output.wav")
-    
-    voicefixer.restore(input="output.wav", # input wav file path
-                    output="audio1.wav", # output wav file path
-                    cuda=True, # whether to use gpu acceleration
-                    mode = 0) # You can try out mode 0, 1, or 2 to find out the best result
-    
-    noisy = enhance_model.load_audio(
-    "audio1.wav"
-    ).unsqueeze(0)
 
-    enhanced = enhance_model.enhance_batch(noisy, lengths=torch.tensor([1.]))
-    torchaudio.save("enhanced.wav", enhanced.cpu(), 16000)
-
-    return [result.text, res, "enhanced.wav"]    
+    return [result.text, res]
+    
+#    return [result.text, res, "enhanced.wav"]    
 #    yield out_str.strip()
 
 g = gr.Interface(
@@ -144,7 +133,7 @@ g = gr.Interface(
     inputs=[
 #        gr.components.Textbox(lines=2, label="Instruction", value="Tell me about ravens."),
         gr.Audio(source="microphone", label = "请开始对话吧！", type="filepath"),
-        gr.Audio(source="upload", label = "请上传您喜欢的声音(wav文件)", type="filepath"),
+#        gr.Audio(source="upload", label = "请上传您喜欢的声音(wav文件)", type="filepath"),
         gr.components.Textbox(lines=2, label="Input", placeholder="none"),
         gr.components.Slider(minimum=10, maximum=200, step=10, value=150), # token_count
         gr.components.Slider(minimum=0.2, maximum=2.0, step=0.1, value=1.0), # temperature
@@ -161,7 +150,7 @@ g = gr.Interface(
             lines=5,
             label="Raven Output",
         ),
-        gr.Audio(label="Audio with Custom Voice"),
+#        gr.Audio(label="Audio with Custom Voice"),
     ],
     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！",