import gradio as gr
import requests
import tempfile, os, uuid
from langdetect import detect

HF_API_KEY = "COLE_SUA_CHAVE_AQUI"
MODEL = "fishaudio/openaudio-s1-mini"

def gerar_audio(texto):
    idioma = detect(texto)

    headers = {
        "Authorization": f"Bearer {HF_API_KEY}",
        "Content-Type": "application/json"
    }

    payload = {
        "inputs": texto,
        "parameters": {
            "language": idioma
        }
    }

    r = requests.post(
        f"https://api-inference.huggingface.co/models/{MODEL}",
        headers=headers,
        json=payload
    )

    nome = f"{uuid.uuid4()}.wav"
    caminho = os.path.join(tempfile.gettempdir(), nome)

    with open(caminho, "wb") as f:
        f.write(r.content)

    return caminho

with gr.Blocks() as app:
    gr.Markdown("## 🎙️ Motor de Voz - Narrador Profissional")

    texto = gr.Textbox(label="Roteiro", lines=6)
    botao = gr.Button("Gerar Narração")
    saida = gr.Audio(type="filepath")

    botao.click(gerar_audio, texto, saida)

app.launch()