Update app2.py

app2.py

@@ -102,7 +102,7 @@ def create_vc_fn(model_name, tgt_sr, net_g, vc, if_f0, version, file_index):
                 else:
                   inc_rate = (f"+{tts_rate - s100}%")
 
-                asyncio.run(edge_tts.Communicate(text=tts_text, voice= "-".join(tts_voice.split('-')[:-1]), rate= "-80%").save("tts.mp3"))
+                asyncio.run(edge_tts.Communicate(text=tts_text, voice= "-".join(tts_voice.split('-')[:-1]), rate= inc_rate).save("tts.mp3"))
                 audio, sr = librosa.load("tts.mp3", sr=16000, mono=True)
                 vc_input = "tts.mp3"
             times = [0, 0, 0]
@@ -426,7 +426,7 @@ def change_audio_mode(vc_audio_mode):
             # TTS
             gr.Textbox.update(visible=True),
             gr.Dropdown.update(visible=True),
-            gr.Textbox.update(visible=True)
+            gr.Number.update(visible=True)
         )
 
 def use_microphone(microphone):
@@ -639,9 +639,9 @@ if __name__ == '__main__':
                                                 vc_download_button = gr.Button("Download Audio", variant="primary", visible=False)
                                                 vc_audio_preview = gr.Audio(label="Audio Preview", visible=False)
                                                 # TTS
-                                                tts_text = gr.Textbox(label="TTS text", info="Text to speech input", visible=False)
+                                                tts_text = gr.Textbox(label="TTS text", value="hello world", info="Text to speech input", visible=False)
                                                 tts_voice = gr.Dropdown(label="Edge-tts speaker", choices=voices, visible=False, allow_custom_value=False, value="en-US-AnaNeural-Female")
-                                                tts_rate = gr.Textbox(label="TTS Rate", info='Change tts output speed (100 = normal)')
+                                                tts_rate = gr.Number(label="TTS Rate", value = 0 ,info='Change tts output speed (100 = normal)',  visible=False)
                                             with gr.Column():
                                                 vc_split_model = gr.Dropdown(label="Splitter Model", choices=["hdemucs_mmi", "htdemucs", "htdemucs_ft", "mdx", "mdx_q", "mdx_extra_q"], allow_custom_value=False, visible=False, value="htdemucs", info="Select the splitter model (Default: htdemucs)")
                                                 vc_split_log = gr.Textbox(label="Output Information", visible=False, interactive=False)
@@ -837,6 +837,7 @@ if __name__ == '__main__':
                                 vc_upload,
                                 tts_text,
                                 tts_voice,
+                                tts_rate,
                                 vc_transform0,
                                 f0method0,
                                 index_rate1,