app.py

import gradio as gr
import edge_tts
import tempfile
import asyncio

# Voice Mapping
VOICE_MAP = {
    "رجل (مصري)": "ar-EG-ShakirNeural",
    "سيدة (مصرية)": "ar-EG-SalmaNeural",
    "رجل (سعودي)": "ar-SA-HamedNeural",
    "سيدة (سعودية)": "ar-SA-ZariyahNeural",
    "English (US) M": "en-US-EricNeural",
    "English (US) F": "en-US-AriaNeural"
}

async def generate_speech(text, voice, emotion, is_symbol, rate, pitch):
    if not text or not text.strip(): return None
    
    # Defaults
    final_rate = rate if rate and isinstance(rate, str) and len(rate.strip()) > 0 else "+0%"
    final_pitch = pitch if pitch and isinstance(pitch, str) and len(pitch.strip()) > 0 else "+0Hz"
    
    # Voice Selection
    selected_voice = "ar-SA-HamedNeural"
    if voice in VOICE_MAP: selected_voice = VOICE_MAP[voice]
    elif voice in VOICE_MAP.values(): selected_voice = voice
    
    print(f"Generating: {len(text)} chars | {selected_voice} | {final_rate} | {final_pitch}")

    try:
        output_file = tempfile.NamedTemporaryFile(suffix=".mp3", delete=False)
        output_path = output_file.name
        output_file.close()
        
        communicate = edge_tts.Communicate(text, selected_voice, rate=final_rate, pitch=final_pitch)
        await communicate.save(output_path)
        return output_path
    except Exception as e:
        print(f"ERROR: {str(e)}")
        raise gr.Error(f"TTS Error: {str(e)}")

# UI Definition using Blocks (Fixes TypeError)
with gr.Blocks(title="Natiq Pro API") as demo:
    with gr.Row(visible=False):
        t = gr.Textbox(label="Text")
        v = gr.Textbox(label="Voice")
        e = gr.Textbox(label="Emotion", value="neutral")
        s = gr.Checkbox(label="Is Symbol", value=True)
        r = gr.Textbox(label="Rate", value="+0%")
        p = gr.Textbox(label="Pitch", value="+0Hz")
    
    o = gr.Audio(label="Output", type="filepath")
    b = gr.Button("Generate", visible=False)
    
    # Explicit API Name
    b.click(generate_speech, inputs=[t,v,e,s,r,p], outputs=[o], api_name="text_to_speech_edge")

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