Update app.py

app.py

@@ -92,7 +92,7 @@ CHOICES = {
 '🇺🇸 🚺 Alloy': 'af_alloy',
 '🇺🇸 🚺 Jessica': 'af_jessica',
 '🇺🇸 🚺 River': 'af_river',
-    
+
 '🇺🇸 🚹 Michael': 'am_michael',
 '🇺🇸 🚹 Fenrir': 'am_fenrir',
 '🇺🇸 🚹 Puck': 'am_puck',
@@ -102,46 +102,46 @@ CHOICES = {
 '🇺🇸 🚹 Onyx': 'am_onyx',
 '🇺🇸 🚹 Santa': 'am_santa',
 '🇺🇸 🚹 Adam': 'am_adam',
-    
+
 '🇬🇧 🚺 Emma': 'bf_emma',
 '🇬🇧 🚺 Isabella': 'bf_isabella',
 '🇬🇧 🚺 Alice': 'bf_alice',
 '🇬🇧 🚺 Lily': 'bf_lily',
-    
+
 '🇬🇧 🚹 George': 'bm_george',
 '🇬🇧 🚹 Fable': 'bm_fable',
 '🇬🇧 🚹 Lewis': 'bm_lewis',
 '🇬🇧 🚹 Daniel': 'bm_daniel',
-    
+
 '🇪🇸 🚺 Dora': 'ef_dora',
-    
+
 '🇪🇸 🚹 Alex': 'em_alex',
 '🇪🇸 🚹 Santa': 'em_santa',
-    
+
 '🇫🇷 🚺 Siwis': 'ff_siwis',
-    
+
 '🇮🇳 🚹 Alpha': 'hf_alpha',
 '🇮🇳 🚹 Beta': 'hf_beta',
-    
+
 '🇮🇳 🚹 Omega': 'hm_omega',
 '🇮🇳 🚹 Psi': 'hm_psi',
-    
+
 '🇮🇹 🚺 Sara': 'if_sara',
-    
+
 '🇮🇹 🚺 Nicola': 'im_nicola',
-    
+
 '🇯🇵 🚹 Alpha': 'jf_alpha',
 '🇯🇵 🚹 Gongitsune': 'jf_gongitsune',
 '🇯🇵 🚹 Nezumi': 'jf_nezumi',
 '🇯🇵 🚹 Tebukuro': 'jf_tebukuro',
-    
+
 '🇯🇵 🚹 Kumo': 'jm_kumo',
-    
+
 '🇧🇷 🚺 Dora': 'pf_dora',
-    
+
 '🇧🇷 🚹 Alex': 'pm_alex',
 '🇧🇷 🚹 Santa': 'pm_santa',
-    
+
 '🇨🇳 🚺 Xiaobei': 'zf_xiaobei',
 '🇨🇳 🚺 Xiaoni': 'zf_xiaoni',
 '🇨🇳 🚺 Xiaoxiao': 'zf_xiaoxiao',
@@ -155,24 +155,10 @@ CHOICES = {
 for v in CHOICES.values():
     pipelines[v[0]].load_voice(v)
 
-TOKEN_NOTE = '''
-💡 Customize pronunciation with Markdown link syntax and /slashes/ like `[Kokoro](/kˈOkəɹO/)`
-
-💬 To adjust intonation, try punctuation `;:,.!?—…"()“”` or stress `ˈ` and `ˌ`
-
-⬇️ Lower stress `[1 level](-1)` or `[2 levels](-2)`
-
-⬆️ Raise stress 1 level `[or](+2)` 2 levels (only works on less stressed, usually short words)
-'''
-
 with gr.Blocks() as generate_tab:
     out_audio = gr.Audio(label='Output Audio', interactive=False, streaming=False, autoplay=True)
     generate_btn = gr.Button('Generate', variant='primary')
-    with gr.Accordion('Output Tokens', open=True):
-        out_ps = gr.Textbox(interactive=False, show_label=False, info='Tokens used to generate the audio, up to 510 context length.')
-        tokenize_btn = gr.Button('Tokenize', variant='secondary')
-        gr.Markdown(TOKEN_NOTE)
-        predict_btn = gr.Button('Predict', variant='secondary', visible=False)
+
 
 STREAM_NOTE = ['⚠️ There is an unknown Gradio bug that might yield no audio the first time you click `Stream`.']
 if CHAR_LIMIT is not None:
@@ -191,9 +177,7 @@ with gr.Blocks() as stream_tab:
 
 BANNER_TEXT = '''
 [***Kokoro*** **is an open-weight TTS model with 82 million parameters.**](https://huggingface.co/hexgrad/Kokoro-82M)
-
 As of January 31st, 2025, Kokoro was the most-liked [**TTS model**](https://huggingface.co/models?pipeline_tag=text-to-speech&sort=likes) and the most-liked [**TTS space**](https://huggingface.co/spaces?sort=likes&search=tts) on Hugging Face.
-
 This demo only showcases English, but you can directly use the model to access other languages.
 '''
 API_OPEN = os.getenv('SPACE_ID') != 'hexgrad/Kokoro-TTS'
@@ -218,11 +202,9 @@ with gr.Blocks() as app:
         with gr.Column():
             gr.TabbedInterface([generate_tab, stream_tab], ['Generate', 'Stream'])
     random_btn.click(fn=get_random_text, inputs=[voice], outputs=[text], api_name=API_NAME)
-    generate_btn.click(fn=generate_first, inputs=[text, voice, speed, use_gpu], outputs=[out_audio, out_ps], api_name=API_NAME)
-    tokenize_btn.click(fn=tokenize_first, inputs=[text, voice], outputs=[out_ps], api_name=API_NAME)
+    generate_btn.click(fn=generate_first, inputs=[text, voice, speed, use_gpu], outputs=[out_audio], api_name=API_NAME)
     stream_event = stream_btn.click(fn=generate_all, inputs=[text, voice, speed, use_gpu], outputs=[out_stream], api_name=API_NAME)
     stop_btn.click(fn=None, cancels=stream_event)
-    predict_btn.click(fn=predict, inputs=[text, voice, speed], outputs=[out_audio], api_name=API_NAME)
 
 if __name__ == '__main__':
     app.queue(api_open=API_OPEN).launch(show_api=API_OPEN, ssr_mode=True)