| | import gradio as gr |
| | import edge_tts |
| | import asyncio |
| | import tempfile |
| | import os |
| |
|
| | async def get_voices(): |
| | voices = await edge_tts.list_voices() |
| | return {v['ShortName'] : 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) |
| | |
| | |
| | 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=-20, maximum=20, 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()) |
| |
|
