app.py

"""
Piper TTS — API Backend for GitHub Pages Frontend
يقبل طلبات من الواجهة الخارجية ويعيد الصوت
"""
import os
import subprocess
import tempfile
import gradio as gr

os.makedirs("voices", exist_ok=True)

VOICES = {
    "ar_kareem":   {"model": "voices/ar.onnx",    "url_onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/ar/ar_JO/kareem/medium/ar_JO-kareem-medium.onnx",        "url_json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/ar/ar_JO/kareem/medium/ar_JO-kareem-medium.onnx.json"},
    "en_us_lessac":{"model": "voices/en_us.onnx",  "url_onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/lessac/medium/en_US-lessac-medium.onnx",       "url_json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/lessac/medium/en_US-lessac-medium.onnx.json"},
    "fr_siwis":    {"model": "voices/fr.onnx",     "url_onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/fr/fr_FR/siwis/medium/fr_FR-siwis-medium.onnx",          "url_json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/fr/fr_FR/siwis/medium/fr_FR-siwis-medium.onnx.json"},
    "es_carlfm":   {"model": "voices/es.onnx",     "url_onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/es/es_ES/carlfm/x_low/es_ES-carlfm-x_low.onnx",         "url_json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/es/es_ES/carlfm/x_low/es_ES-carlfm-x_low.onnx.json"},
    "de_thorsten": {"model": "voices/de.onnx",     "url_onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/de/de_DE/thorsten/medium/de_DE-thorsten-medium.onnx",   "url_json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/de/de_DE/thorsten/medium/de_DE-thorsten-medium.onnx.json"},
}

def download_voice(info):
    onnx = info["model"]
    if not os.path.exists(onnx):
        subprocess.run(["wget", "-q", "-O", onnx, info["url_onnx"]], check=True)
        subprocess.run(["wget", "-q", "-O", onnx + ".json", info["url_json"]], check=True)

for key, info in VOICES.items():
    try:
        download_voice(info)
        print(f"✅ {key} ready")
    except Exception as e:
        print(f"⚠️ {key}: {e}")

def synthesize(text: str, voice_id: str):
    if not text or not text.strip():
        raise gr.Error("⚠️ النص فارغ")
    if voice_id not in VOICES:
        raise gr.Error(f"⚠️ الصوت '{voice_id}' غير موجود")
    info = VOICES[voice_id]
    if not os.path.exists(info["model"]):
        raise gr.Error("الصوت غير متاح حالياً")
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
        out = tmp.name
    r = subprocess.run(
        f'echo "{text}" | python -m piper --model {info["model"]} --output_file {out}',
        shell=True, capture_output=True, text=True
    )
    if r.returncode != 0:
        raise gr.Error(f"خطأ: {r.stderr[:200]}")
    return out

# واجهة بسيطة للـ Space نفسه + API تلقائي عبر Gradio
with gr.Blocks(title="Piper TTS API") as demo:
    gr.Markdown("## 🔊 Piper TTS — API Backend\nهذا الـ Space يعمل كـ API للواجهة الخارجية على GitHub Pages.")
    with gr.Row():
        voice_dd = gr.Dropdown(choices=list(VOICES.keys()), value="ar_kareem", label="Voice ID")
        text_in  = gr.Textbox(label="النص", value="مرحباً، هذا اختبار.")
    btn       = gr.Button("توليد", variant="primary")
    audio_out = gr.Audio(label="الصوت", type="filepath", autoplay=True)
    btn.click(fn=synthesize, inputs=[text_in, voice_dd], outputs=audio_out)

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