app.py

import gradio as gr
import asyncio
import edge_tts
import nest_asyncio

nest_asyncio.apply()

# Voice options
voices = {
    "Hindi - Swara (Female)": "hi-IN-SwaraNeural",
    "Hindi - Mohan (Male)": "hi-IN-MohanNeural",
    "English - Jenny (Female)": "en-US-JennyNeural",
    "English - Guy (Male)": "en-US-GuyNeural",
    "Indian English - Neerja (Female)": "en-IN-NeerjaNeural",
    "Indian English - Prabhat (Male)": "en-IN-PrabhatNeural"
}

# Async function to generate voice
async def tts(text, voice_label, rate):
    voice = voices[voice_label]
    rate_str = f"{'+' if rate >= 0 else ''}{int(rate)}%"
    output_file = "voice.mp3"
    communicate = edge_tts.Communicate(text=text, voice=voice, rate=rate_str)
    await communicate.save(output_file)
    return output_file

# Sync wrapper for Gradio
def generate_voice(text, voice, rate):
    return asyncio.run(tts(text, voice, rate))

# Gradio UI
interface = gr.Interface(
    fn=generate_voice,
    inputs=[
        gr.Textbox(label="🎙️ Enter Your Script Text", placeholder="Type your text here...", lines=4),
        gr.Dropdown(choices=list(voices.keys()), label="🗣️ Select Voice", value="Hindi - Swara (Female)"),
        gr.Slider(minimum=-50, maximum=50, step=5, value=0, label="⚙️ Rate (Speed %)"),
    ],
    outputs=gr.Audio(type="filepath", label="🔊 Output Voice"),
    title="🧠 AI Voice Generator",
    description="Generate realistic Hindi & English voices using Microsoft edge-tts engine"
)

interface.launch()