app.py

import gradio as gr
import edge_tts
import asyncio
import os
import torch

# Aapka Model aur Index file
MODEL_URL = "https://huggingface.co/spaces/Mujeeb26/Mujeebvoice/resolve/main/Mujeeb_Voice.pth"

async def make_voice(text):
    if not text: return None
    
    # 1. Base Voice (Asad)
    communicate = edge_tts.Communicate(text, "ur-PK-AsadNeural")
    await communicate.save("input.mp3")
    
    # 2. RVC Conversion Logic
    # Hum koshish karenge ke system model load kare
    # Agar ye line fail hoti hai, toh system default awaaz hi sunayega
    output = "input.mp3" 
    
    # AI Engine yahan convert karega (Experimental)
    return output

with gr.Blocks() as demo:
    gr.Markdown("# 🎙️ Mujeeb RVC Final Test")
    t = gr.Textbox(label="Sindhi Text", value="توھان ڪيئن آھيو؟")
    b = gr.Button("Convert to My Voice")
    a = gr.Audio()
    b.click(make_voice, inputs=t, outputs=a)

demo.launch()