Update app.py

app.py

@@ -157,7 +157,7 @@ for v in CHOICES.values():
 
 TOKEN_NOTE = '''
 💡 Customize pronunciation with Markdown link syntax and /slashes/ like `[Kokoro](/kˈOkəɹO/)`
-💬 To adjust intonation, try punctuation `;:,.!?—…"()“”` or stress `ˈ` and `ˌ`
+💬 To adjust intonation, try punctuation `;:,.!?—…"()“”`
 ⬇️ 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)
 '''
@@ -165,26 +165,30 @@ TOKEN_NOTE = '''
 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')
+
+    # Commenting out the Output Tokens and Stream Tab sections
+    '''
     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:
-    STREAM_NOTE.append(f'✂️ Each stream is capped at {CHAR_LIMIT} characters.')
-    STREAM_NOTE.append('🚀 Want more characters? You can [use Kokoro directly](https://huggingface.co/hexgrad/Kokoro-82M#usage) or duplicate this space:')
-STREAM_NOTE = '\n\n'.join(STREAM_NOTE)
-
-with gr.Blocks() as stream_tab:
-    out_stream = gr.Audio(label='Output Audio Stream', interactive=False, streaming=True, autoplay=True)
-    with gr.Row():
-        stream_btn = gr.Button('Stream', variant='primary')
-        stop_btn = gr.Button('Stop', variant='stop')
-    with gr.Accordion('Note', open=True):
-        gr.Markdown(STREAM_NOTE)
-        gr.DuplicateButton()
+    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:
+        STREAM_NOTE.append(f'✂️ Each stream is capped at {CHAR_LIMIT} characters.')
+        STREAM_NOTE.append('🚀 Want more characters? You can [use Kokoro directly](https://huggingface.co/hexgrad/Kokoro-82M#usage) or duplicate this space:')
+    STREAM_NOTE = '\n\n'.join(STREAM_NOTE)
+
+    with gr.Blocks() as stream_tab:
+        out_stream = gr.Audio(label='Output Audio Stream', interactive=False, streaming=True, autoplay=True)
+        with gr.Row():
+            stream_btn = gr.Button('Stream', variant='primary')
+            stop_btn = gr.Button('Stop', variant='stop')
+        with gr.Accordion('Note', open=True):
+            gr.Markdown(STREAM_NOTE)
+            gr.DuplicateButton()
+    '''
 
 BANNER_TEXT = '''
 [***Kokoro*** **is an open-weight TTS model with 82 million parameters.**](https://huggingface.co/hexgrad/Kokoro-82M)
@@ -211,13 +215,11 @@ with gr.Blocks() as app:
             speed = gr.Slider(minimum=0.5, maximum=2, value=1, step=0.1, label='Speed')
             random_btn = gr.Button('Random Text', variant='secondary')
         with gr.Column():
-            gr.TabbedInterface([generate_tab, stream_tab], ['Generate', 'Stream'])
+            # Only keeping the Generate tab active
+            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)
+
     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)
-    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)
+    app.queue(api_open=API_OPEN).launch(show_api=API_OPEN, ssr_mode=True)