app.py

import gradio as gr
import edge_tts
import asyncio
import tempfile
import os

# Get all available voices
async def get_voices():
    voices = await edge_tts.list_voices()
    return {f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] for v in voices}

#text to speech fun
async def text_to_speech(text, voice, rate, pitch):
    text = text.strip()
    if not text:
        return None, gr.Warning("Please enter text to convert.")
    if not voice:
        return None, gr.Warning("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=text,
        voice=voice_short_name,
        rate=rate_str,
        pitch=pitch_str
    )
    
    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
        await communicate.save(tmp_file.name)
        return tmp_file.name, None


# Gradio interface function
def tts_interface(text, voice, rate, pitch):
    audio, warning = asyncio.run(text_to_speech(text, voice, rate, pitch))
    return audio, warning

# Create Gradio application
import gradio as gr

async def create_demo():
    voices = await get_voices()
    
    description = """
    Convert text to speech using Microsoft Edge TTS. Adjust speech rate and pitch: 0 is default, positive values increase, negative values decrease.
    
    
    
   
    """
    
    demo = gr.Interface(
        fn=tts_interface,
        inputs=[
            gr.Textbox(label="Input Text", lines=5),
            gr.Dropdown(choices=[""] + list(voices.keys()), label="Select Voice", value=""),
            gr.Slider(minimum=-50, maximum=50, value=0, label="Speech Rate Adjustment (%)", step=1),
            gr.Slider(minimum=-20, maximum=20, value=0, label="Pitch Adjustment (Hz)", step=1)
        ],
        outputs=[
            gr.Audio(label="Generated Audio", type="filepath"),
            gr.Markdown(label="Warning", visible=False)
        ],
        title="Edge TTS Text-to-Speech",
        description=description,
       
        analytics_enabled=False,
        allow_flagging="manual"
    )
    return demo

# Run the application
if __name__ == "__main__":
    demo = asyncio.run(create_demo())
    demo.launch(server_name="0.0.0.0", server_port=7860, share=True)