Removed download button
Browse files
.DS_Store
CHANGED
Binary files a/.DS_Store and b/.DS_Store differ
|
|
app.py
CHANGED
@@ -391,7 +391,7 @@ with gr.Blocks() as app_credits:
|
|
391 |
* [RootingInLoad](https://github.com/RootingInLoad) for the podcast generation
|
392 |
* [jpgallegoar](https://github.com/jpgallegoar) for multiple speech-type generation
|
393 |
""")
|
394 |
-
with gr.Blocks() as app_tts:
|
395 |
gr.Markdown("# Batched TTS")
|
396 |
ref_audio_input = gr.Audio(label="Reference Audio", type="filepath")
|
397 |
gen_text_input = gr.Textbox(label="Text to Generate", lines=10)
|
@@ -430,8 +430,7 @@ with gr.Blocks() as app_tts:
|
|
430 |
|
431 |
audio_output = gr.Audio(label="Synthesized Audio")
|
432 |
spectrogram_output = gr.Image(label="Spectrogram")
|
433 |
-
|
434 |
-
|
435 |
generate_btn.click(
|
436 |
infer,
|
437 |
inputs=[
|
@@ -442,7 +441,7 @@ with gr.Blocks() as app_tts:
|
|
442 |
remove_silence,
|
443 |
cross_fade_duration_slider,
|
444 |
],
|
445 |
-
outputs=[audio_output, spectrogram_output
|
446 |
)
|
447 |
|
448 |
with gr.Blocks() as app_podcast:
|
@@ -767,7 +766,7 @@ If you're having issues, try converting your reference audio to WAV or MP3, clip
|
|
767 |
**NOTE: Reference text will be automatically transcribed with Whisper if not provided. For best results, keep your reference clips short (<15s). Ensure the audio is fully uploaded before generating.**
|
768 |
"""
|
769 |
)
|
770 |
-
gr.TabbedInterface([app_tts, app_podcast, app_emotional
|
771 |
|
772 |
@click.command()
|
773 |
@click.option("--port", "-p", default=None, type=int, help="Port to run the app on")
|
|
|
391 |
* [RootingInLoad](https://github.com/RootingInLoad) for the podcast generation
|
392 |
* [jpgallegoar](https://github.com/jpgallegoar) for multiple speech-type generation
|
393 |
""")
|
394 |
+
with gr.Blocks(theme='gstaff/sketch') as app_tts:
|
395 |
gr.Markdown("# Batched TTS")
|
396 |
ref_audio_input = gr.Audio(label="Reference Audio", type="filepath")
|
397 |
gen_text_input = gr.Textbox(label="Text to Generate", lines=10)
|
|
|
430 |
|
431 |
audio_output = gr.Audio(label="Synthesized Audio")
|
432 |
spectrogram_output = gr.Image(label="Spectrogram")
|
433 |
+
|
|
|
434 |
generate_btn.click(
|
435 |
infer,
|
436 |
inputs=[
|
|
|
441 |
remove_silence,
|
442 |
cross_fade_duration_slider,
|
443 |
],
|
444 |
+
outputs=[audio_output, spectrogram_output],
|
445 |
)
|
446 |
|
447 |
with gr.Blocks() as app_podcast:
|
|
|
766 |
**NOTE: Reference text will be automatically transcribed with Whisper if not provided. For best results, keep your reference clips short (<15s). Ensure the audio is fully uploaded before generating.**
|
767 |
"""
|
768 |
)
|
769 |
+
gr.TabbedInterface([app_tts, app_podcast, app_emotional], ["TTS", "Podcast", "Multi-Style"])
|
770 |
|
771 |
@click.command()
|
772 |
@click.option("--port", "-p", default=None, type=int, help="Port to run the app on")
|