Update app.py

app.py

@@ -12,7 +12,7 @@ if not IS_DUPLICATE:
     import misaki
     print('DEBUG', kokoro.__version__, CUDA_AVAILABLE, misaki.__version__)
 
-CHAR_LIMIT = None if IS_DUPLICATE else 5000
+CHAR_LIMIT = None if IS_DUPLICATE else 50000
 models = {gpu: KModel().to('cuda' if gpu else 'cpu').eval() for gpu in [False] + ([True] if CUDA_AVAILABLE else [])}
 pipelines = {lang_code: KPipeline(lang_code=lang_code, model=False) for lang_code in 'ab'}
 pipelines['a'].g2p.lexicon.golds['qhash'] = 'kˈOkəɹO'
@@ -140,7 +140,7 @@ 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.')
+        out_ps = gr.Textbox(interactive=False, show_label=False, info='Tokens used to generate the audio, up to 5010 context length.')
         tokenize_btn = gr.Button('Tokenize', variant='secondary')
         gr.Markdown(TOKEN_NOTE)
         predict_btn = gr.Button('Predict', variant='secondary', visible=False)
@@ -172,7 +172,7 @@ with gr.Blocks() as app:
         gr.Markdown(BANNER_TEXT, container=True)
     with gr.Row():
         with gr.Column():
-            text = gr.Textbox(label='Input Text', info=f"Up to ~500 characters per Generate, or {'∞' if CHAR_LIMIT is None else CHAR_LIMIT} characters per Stream")
+            text = gr.Textbox(label='Input Text', info=f"Up to ~5000 characters per Generate, or {'∞' if CHAR_LIMIT is None else CHAR_LIMIT} characters per Stream")
             with gr.Row():
                 voice = gr.Dropdown(list(CHOICES.items()), value='af_heart', label='Voice', info='Quality and availability vary by language')
                 use_gpu = gr.Dropdown(