File size: 2,645 Bytes
1b41e6d e66adeb 1b41e6d 2ed5474 1b41e6d 8bf0dd5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
import gradio as gr
import edge_tts
import asyncio
import tempfile
import os
async def get_voices():
voices = await edge_tts.list_voices()
return {f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] for v in voices}
async def text_to_speech(text, voice, rate, pitch):
if not text.strip():
return None, "Please enter text to convert."
if not voice:
return None, "Please select a voice."
voice_short_name = voice.split(" - ")[0]
rate_str = f"{rate:+d}%"
pitch_str = f"{pitch:+d}Hz"
communicate = edge_tts.Communicate(text, voice_short_name, rate=rate_str, pitch=pitch_str)
# Save directly to mp3 file (Edge TTS actually outputs mp3 format)
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
tmp_path = tmp_file.name
await communicate.save(tmp_path)
return tmp_path, None
async def tts_interface(text, voice, rate, pitch):
audio, warning = await text_to_speech(text, voice, rate, pitch)
if warning:
return audio, gr.Warning(warning)
return audio, None
async def create_demo():
voices = await get_voices()
with gr.Blocks(analytics_enabled=False) as demo:
gr.Markdown("# 🎙️ Edge TTS Text-to-Speech")
with gr.Row():
with gr.Column():
text_input = gr.Textbox(label="Input Text", lines=5)
voice_dropdown = gr.Dropdown(choices=[""] + list(voices.keys()), label="Select Voice", value="")
rate_slider = gr.Slider(minimum=-50, maximum=50, value=0, label="Speech Rate Adjustment (%)", step=1)
pitch_slider = gr.Slider(minimum=-50, maximum=50, value=0, label="Pitch Adjustment (Hz)", step=1)
generate_btn = gr.Button("Generate Speech", variant="primary")
audio_output = gr.Audio(label="Generated Audio", type="filepath")
warning_md = gr.Markdown(label="Warning", visible=False)
generate_btn.click(
fn=tts_interface,
inputs=[text_input, voice_dropdown, rate_slider, pitch_slider],
outputs=[audio_output, warning_md]
)
gr.Markdown("Experience the power of Edge TTS for text-to-speech conversion, and explore our advanced Text-to-Video Converter for even more creative possibilities!")
return demo
async def main():
demo = await create_demo()
demo.queue(default_concurrency_limit=50)
demo.launch()
if __name__ == "__main__":
asyncio.run(main())
|