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import logging | |
import gradio as gr | |
from tts_service.functions import fetch_document, generate_speech_from_text | |
from tts_service.voices import voice_manager | |
log = logging.getLogger(__name__) | |
# TTS tab | |
def workflow_tab(): | |
with gr.Row(): | |
with gr.Column(): | |
source = gr.Textbox( | |
label="Source", | |
info="Enter the document ID or URL.", | |
) | |
fetch_button = gr.Button("Fetch") | |
text = gr.Textbox( | |
label="Text", | |
visible=False, | |
) | |
voice = gr.Dropdown( | |
label="Voice", | |
choices=voice_manager.voices.keys(), | |
value=voice_manager.voice_names[0], | |
visible=len(voice_manager.voices) > 1, | |
) | |
synthesize_button = gr.Button("Synthesize") | |
audio = gr.Audio( | |
label="Generated Audio", | |
) | |
status = gr.Markdown( | |
label="Status", | |
show_label=True, | |
) | |
with gr.Column(): | |
markdown = gr.Markdown( | |
label="Document", | |
show_label=True, | |
) | |
fetch_button.click( | |
fn=fetch_document, | |
inputs=[source], | |
outputs=[markdown, text], | |
) | |
synthesize_button.click( | |
fn=generate_speech_from_text, | |
inputs=[text, voice], | |
outputs=[status, audio], | |
) | |