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import edge_tts
import gradio as gr
import tempfile
import anyio
language_dict = {
'Abeo': 'en-NG-AbeoNeural',
'Ana': 'en-US-AnaNeural',
'Andrew': 'en-US-AndrewNeural',
'Aria': 'en-US-AriaNeural',
'Asilia': 'en-KE-AsiliaNeural',
'Ava': 'en-US-AvaNeural',
'Brian': 'en-US-BrianNeural',
'Christopher': 'en-US-ChristopherNeural',
'Chilemba': 'en-KE-ChilembaNeural',
'Clara': 'en-CA-ClaraNeural',
'Connor': 'en-IE-ConnorNeural',
'Emily': 'en-IE-EmilyNeural',
'Elimu': 'en-TZ-ElimuNeural',
'Emma': 'en-US-EmmaMultilingualNeural',
'Eric': 'en-US-EricNeural',
'Ezinne': 'en-NG-EzinneNeural',
'Guy': 'en-US-GuyNeural',
'Imani': 'en-TZ-ImaniNeural',
'James': 'en-PH-JamesNeural',
'Jenny': 'en-US-JennyNeural',
'Leah': 'en-ZA-LeahNeural',
'Libby': 'en-GB-LibbyNeural',
'Liam': 'en-CA-LiamNeural',
'Luke': 'en-ZA-LukeNeural',
'Luna': 'en-SG-LunaNeural',
'Maisie': 'en-GB-MaisieNeural',
'Michelle': 'en-US-MichelleNeural',
'Mitchell': 'en-NZ-MitchellNeural',
'Molly': 'en-NZ-MollyNeural',
'Natasha': 'en-AU-NatashaNeural',
'Neerja': 'en-IN-NeerjaExpressiveNeural',
'Prabhat': 'en-IN-PrabhatNeural',
'Roger': 'en-US-RogerNeural',
'Rosa': 'en-PH-RosaNeural',
'Ryan': 'en-GB-RyanNeural',
'Sam': 'en-HK-SamNeural',
'Sonia': 'en-GB-SoniaNeural',
'Steffan': 'en-US-SteffanNeural',
'Thomas': 'en-GB-ThomasNeural',
'Wayne': 'en-SG-WayneNeural',
'William': 'en-AU-WilliamNeural',
'Yan': 'en-HK-YanNeural'
}
async def text_to_speech_edge(text, language_code):
voice = language_dict.get(language_code, "default_voice")
communicate = edge_tts.Communicate(text, voice)
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
tmp_path = tmp_file.name
await communicate.save(tmp_path)
return f"Speech synthesis completed for: {text}", tmp_path
input_text = gr.Textbox(lines=5, label="Input Text")
output_text = gr.Textbox(label="Output Text")
output_audio = gr.Audio(type="filepath", label="Exported Audio")
language = gr.Dropdown(choices=list(language_dict.keys()), label="Choose the Voice Model")
# Gradio interface
iface = gr.Blocks()
with iface:
gr.Interface(
fn=text_to_speech_edge,
inputs=[input_text, language],
outputs=[output_text, output_audio],
title="Edge TTS",
description="Microsoft Edge Text-To-Speech (Forked & Fixed Ilaria TTS)",
)
iface.launch()
if __name__ == "__main__":
anyio.run(interface.launch, backend="asyncio") |