update

app.py

@@ -24,7 +24,7 @@ print(f"LANG={LANG}")
 
 
 #def predict(prompt, style, audio_file_pth, mic_file_path, use_mic, language):
-def predict(prompt, audio_file_pth, mic_file_path, use_mic, language):
+def predict(prompt, audio_file_pth, mic_file_path, use_mic, language, speed):
     # initialize a empty info
     text_hint = ''
 
@@ -89,7 +89,7 @@ def predict(prompt, audio_file_pth, mic_file_path, use_mic, language):
     print(f"Speaker_ids= {speaker_ids}, language={language}, speaker_key={speaker_key}")
     speaker_id = speaker_ids[language]
 
-    tts_model.tts_to_file(prompt, speaker_id, src_path)
+    tts_model.tts_to_file(prompt, speaker_id, src_path, speed=speed)
 
     save_path = f'{output_dir}/output.wav'
     # Run the tone color converter
@@ -189,6 +189,12 @@ with gr.Blocks(analytics_enabled=False) as demo:
                 value=False,
                 info="Notice: Microphone input may not work properly under traffic",
             )
+            speed = gr.Slider(
+                label="Speed",
+                minimum=0.1,
+                maximum=10,
+                value=1.0,
+            )
             #language = gr.Radio(['EN-Newest', 'EN-US', 'EN-BR', 'EN_INDIA', 'EN-AU', 'EN-Default', 'ES', 'FR', 'ZH', 'JP', 'KR'], label='Language', value='EN-Newest')
             if LANG.startswith("EN"):
                 language = gr.Radio(['EN-US', 'EN-BR', 'EN_INDIA', 'EN-AU', 'EN-Default'], label='Language', value='EN-Default')
@@ -211,7 +217,7 @@ with gr.Blocks(analytics_enabled=False) as demo:
 #                        fn=predict,
 #                        cache_examples=False,)
             #tts_button.click(predict, [input_text_gr, style_gr, ref_gr, mic_gr, use_mic_gr, language], outputs=[out_text_gr, audio_gr, ref_audio_gr])
-            tts_button.click(predict, [input_text_gr, ref_gr, mic_gr, use_mic_gr, language], outputs=[out_text_gr, audio_gr, ref_audio_gr])
+            tts_button.click(predict, [input_text_gr, ref_gr, mic_gr, use_mic_gr, language, speed], outputs=[out_text_gr, audio_gr, ref_audio_gr])
 
 demo.queue()  
 demo.launch(debug=True, show_api=True)