app.py

import os
import gradio as gr
from TTS.api import TTS

print("⏳ XTTS-v2 Model Download ho raha hai... Isme 10-15 min lagenge!")

# Coqui TTS ki terms & conditions ko auto-accept karne ka code
os.environ["COQUI_TOS_AGREED"] = "1"

# 🚀 ASLI AI MODEL LOADING (Tere server ke andar)
# gpu=False kiya hai kyunki free HF space par CPU hota hai
tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2", gpu=False)

def clone_voice(script, ref_audio):
    if not script or not ref_audio:
        return None, "⚠️ Bhai, Script aur Reference Voice dono zaroori hain!"
    
    try:
        output_file = "voiceforge_final.wav"
        
                # Tera local AI engine ab script read karega
        tts.tts_to_file(
            text=script,
            file_path=output_file,
            speaker_wav=ref_audio,
            language="en"  # 👈 Isko "en" kar de!
        )

        
        return output_file, "✅ Boom! Teri apni AI ne locally aawaz bana di!"
        
    except Exception as e:
        return None, f"⚠️ Error: {str(e)}"

# ── Dark Mode UI ──
with gr.Blocks(theme=gr.themes.Monochrome()) as iface:
    gr.Markdown("# 🎙️ VoiceForge Mobile Studio")
    gr.Markdown("### ⚡ True Local AI Clone Engine (XTTS-v2) | Dev: Naman Rai")
    
    with gr.Row():
        with gr.Column():
            ref_audio_input = gr.Audio(type="filepath", label="🎵 Reference Voice (5-10 sec saaf aawaz)")
            script_input = gr.Textbox(
                label="📝 Script Yahan Daal", 
                lines=4, 
                placeholder="Bhai log, aaj ke is montage mein..."
            )
            generate_btn = gr.Button("🚀 Generate Clone", variant="primary")
            
        with gr.Column():
            audio_output = gr.Audio(label="VoiceForge Output")
            status_output = gr.Textbox(label="System Console")

        generate_btn.click(
        fn=clone_voice,
        inputs=[script_input, ref_audio_input],
        outputs=[audio_output, status_output],
        api_name="clone_voice"  # 👈 YEH LINE MISSING THI! Iske bina app nahi chalega.
    )

# Aur server crash se bachane ke liye queue bhi laga de:
iface.queue(default_concurrency_limit=1, max_size=50).launch()