app.py

import gradio as gr
import requests
import os

# ElevenLabs API Constants
BASE_URL = "https://api.elevenlabs.io/v1"

def get_voices(api_key):
    """ElevenLabs account se saari voices fetch karega"""
    if not api_key:
        return []
    
    headers = {"xi-api-key": api_key}
    try:
        response = requests.get(f"{BASE_URL}/voices", headers=headers)
        if response.status_code == 200:
            voices_data = response.json()["voices"]
            # List banayenge: "VoiceName - VoiceID"
            return [f"{v['name']} - {v['voice_id']}" for v in voices_data]
        else:
            return ["Error: API Key galat hai ya Network issue"]
    except Exception as e:
        return [f"Error: {e}"]

def generate_audio(api_key, text, voice_str, model_id):
    """Text ko Audio mein convert karega"""
    if not api_key or not text or not voice_str:
        return None, "⚠️ Pehle API Key, Voice aur Text daalein."

    try:
        # Voice ID nikalna string se
        voice_id = voice_str.split(" - ")[-1]
        
        url = f"{BASE_URL}/text-to-speech/{voice_id}"
        headers = {
            "Accept": "audio/mpeg",
            "Content-Type": "application/json",
            "xi-api-key": api_key
        }
        
        data = {
            "text": text,
            "model_id": model_id,
            "voice_settings": {
                "stability": 0.5,
                "similarity_boost": 0.75
            }
        }

        response = requests.post(url, json=data, headers=headers)

        if response.status_code == 200:
            output_file = "output_elevenlabs.mp3"
            with open(output_file, "wb") as f:
                f.write(response.content)
            return output_file, "✅ Audio Taiyar Hai!"
        else:
            return None, f"❌ Error: {response.text}"
            
    except Exception as e:
        return None, f"❌ System Error: {e}"

# --- UI Design ---
with gr.Blocks(title="Deepak's ElevenLabs Tool") as demo:
    gr.Markdown("# 🎙️ Deepak's Official ElevenLabs Generator")
    gr.Markdown("Apni API Key daalein aur high-quality Hindi/English audio banayein.")
    
    with gr.Row():
        with gr.Column():
            # Step 1: API Key Input
            api_input = gr.Textbox(
                label="Step 1: ElevenLabs API Key",
                placeholder="Apni API Key yahan paste karein...",
                type="password"
            )
            
            # Button to load voices
            load_btn = gr.Button("🔄 Load My Voices (Pappi etc.)")
            
            # Step 2: Settings
            voice_dropdown = gr.Dropdown(label="Step 2: Character Select Karein", choices=[])
            
            model_dropdown = gr.Dropdown(
                label="Step 3: Model Select Karein",
                choices=[
                    "eleven_multilingual_v2", # Best for Hindi
                    "eleven_multilingual_v1", # Old Hindi
                    "eleven_turbo_v2",        # Fast English
                    "eleven_monolingual_v1"   # English Only
                ],
                value="eleven_multilingual_v2"
            )

            # Step 3: Text
            text_input = gr.Textbox(
                label="Step 4: Text Likhein", 
                placeholder="Namaste, main Pappi hoon. Kaise hain aap?", 
                lines=4
            )
            
            generate_btn = gr.Button("🔊 Generate Audio", variant="primary")

        with gr.Column():
            # Output
            audio_output = gr.Audio(label="Generated Audio")
            status_msg = gr.Textbox(label="Status")

    # Functions linking
    def update_voices(key):
        voices = get_voices(key)
        return gr.Dropdown(choices=voices, value=voices[0] if voices else None)

    load_btn.click(fn=update_voices, inputs=[api_input], outputs=[voice_dropdown])
    
    generate_btn.click(
        fn=generate_audio, 
        inputs=[api_input, text_input, voice_dropdown, model_dropdown], 
        outputs=[audio_output, status_msg]
    )

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)