Update app.py

app.py

@@ -57,7 +57,7 @@ def generate_prompt(instruction, input=None):
 """
 
 def evaluate(
-    upload,
+#    upload,
     audio,
 #    instruction,
 #    input=None,
@@ -129,28 +129,16 @@ def evaluate(
 
     res1 = ' '.join(str(x) for x in res)
 
-    tts.tts_to_file("hi there how are you", 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, res1, "enhanced.wav"]
+
+    return [result.text, res1]
     
 #    yield out_str.strip()
 
 g = gr.Interface(
     fn=evaluate,
     inputs=[
-        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.Audio(source="microphone", label = "和您的专属AI聊天吧！", type="filepath"),
 #        gr.components.Textbox(lines=2, label="Instruction", value="Tell me about ravens."),
 #        gr.components.Textbox(lines=2, label="Input", placeholder="none"),
@@ -163,7 +151,7 @@ g = gr.Interface(
     outputs=[
         gr.Textbox(label="Speech to Text"),
         gr.Textbox(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！",