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from pathlib import Path
import gradio as gr
from tts_service.functions import generate_speech_from_text
from tts_service.voices import voice_manager
sample = Path("notebooks/sample.txt").read_text()
# TTS tab
def tts_tab():
with gr.Column(): # noqa: SIM117
with gr.Row():
voice_name = gr.Dropdown(
label="Voice Model",
info="Select the voice model.",
choices=voice_manager.voice_names,
value=voice_manager.voice_names[0],
)
tts_rate = gr.Slider(
minimum=-100,
maximum=100,
step=1,
label="TTS Speed",
info="Increase or decrease TTS speed.",
value=0,
interactive=True,
)
tts_text = gr.Textbox(
label="Text to Synthesize",
info="Enter the text to synthesize.",
placeholder="Enter text to synthesize",
value=sample,
lines=3,
)
convert_button = gr.Button("Convert")
with gr.Row():
vc_output1 = gr.Textbox(
label="Output Information",
info="The output information will be displayed here.",
)
vc_output2 = gr.Audio(label="Generated Audio")
convert_button.click(
fn=generate_speech_from_text,
inputs=[
tts_text,
voice_name,
tts_rate,
],
outputs=[vc_output1, vc_output2],
)
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