app.py

import gradio as gr
import os
from tts import synthesize_and_save_audio
import time

def generate_tts(input_text, reference_audio_path):
    output_path = "cloned.wav"
    for i in range(3):
        try:
            result = synthesize_and_save_audio(
                input_text=input_text,
                voice_id=reference_audio_path,
                model="voxtral-mini-tts-2603",
                api_key=os.getenv("MISTRAL_API_KEY"),
                output_path=output_path,
            )
            if result == 0: return output_path
        except Exception:
            time.sleep(1)
    return None

# Ajustado: Chaves exatas que o seu site envia
voice_mapping = {
    "lateinos-1": "guia_lateinos.wav (1).mp3",
    "lateinos-2": "guia_lateinos.wav (1).mp3"
}

# FUNÇÃO PARA O SITE (2 Entradas)
def api_lateinos_tts(text, voice_key):
    ref = voice_mapping.get(voice_key, "guia_lateinos.wav (1).mp3")
    return generate_tts(text, ref)

# FUNÇÃO PARA A INTERFACE (3 Entradas)
def ui_lateinos_lab(text, voice_dropdown, upload_file):
    if upload_file is not None:
        return generate_tts(text, upload_file)
    ref = voice_mapping.get(voice_dropdown, "guia_lateinos.wav (1).mp3")
    return generate_tts(text, ref)

with gr.Blocks(title="Evolution-Voice-App") as demo:
    gr.Markdown("# Estúdio Lab")
    
    with gr.Row():
        with gr.Column():
            txt = gr.Textbox(label="Letra", lines=4)
            with gr.Tabs():
                with gr.Tab("Vozes Fixas"):
                    # Use os nomes visíveis aqui, a função traduz pela chave depois
                    voice_select = gr.Dropdown(
                        choices=list(voice_mapping.keys()), 
                        value="lateinos-1", 
                        label="Voz Nativa"
                    )
                with gr.Tab("Upload PC"):
                    audio_upload = gr.Audio(label="Subir do PC (10-30s)", type="filepath")
            
            btn = gr.Button("CRIAR GUIA", variant="primary")

        with gr.Column():
            out = gr.Audio(label="Download Liberado")

    # Click da Interface (3 inputs)
    btn.click(fn=ui_lateinos_lab, inputs=[txt, voice_select, audio_upload], outputs=out)

    # PORTA VIP PARA O RENDER (predict_1)
    # CORREÇÃO: Esta função recebe apenas 2 inputs para bater com o seu Render
    api_btn = gr.Button("API", visible=False)
    api_btn.click(
        fn=api_lateinos_tts, 
        inputs=[txt, voice_select], 
        outputs=[out], 
        api_name="predict_1"
    )

if __name__ == "__main__":
    demo.launch()