app.py

import gradio as gr
import requests
from TTS.api import TTS
import os

# ✅ Load TTS model (Make sure model is downloaded or install TTS first)
tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts")

# ✅ Get Ayah from AlQuran API
def get_quran_ayat(surah_num, ayat_num):
    try:
        url = f"https://api.alquran.cloud/v1/ayah/{surah_num}:{ayat_num}/editions/quran-simple,en.asad"
        response = requests.get(url)
        response.raise_for_status()
        data = response.json()

        if "data" in data and len(data["data"]) >= 2:
            arabic_text = data["data"][0]["text"]
            translation = data["data"][1]["text"]
            return arabic_text, translation
        else:
            return "❌ Ayah not found.", "❌ Translation not found."

    except Exception as e:
        return f"❌ API Error: {e}", ""

# ✅ Gradio main function
def qari_bot(surah, ayah):
    arabic_text, translation = get_quran_ayat(surah, ayah)

    # Return early if error
    if "❌" in arabic_text:
        return arabic_text, translation, None

    # Generate audio and save to file
    output_path = "ayat.wav"
    try:
        tts.tts_to_file(
            text=arabic_text,
            file_path=output_path,
            language="ar"
        )
        return arabic_text, translation, output_path
    except Exception as e:
        return arabic_text, translation, f"❌ TTS Error: {e}"

# ✅ Gradio Interface
interface = gr.Interface(
    fn=qari_bot,
    inputs=[
        gr.Number(label="Surah Number", value=1),
        gr.Number(label="Ayah Number", value=1)
    ],
    outputs=[
        gr.Textbox(label="📜 Arabic Ayah"),
        gr.Textbox(label="🌐 Translation (English)"),
        gr.Audio(label="🔊 Listen to Ayah")
    ],
    title="📖 AI Qari Bot",
    description="Enter Surah & Ayah number to hear the Quran Ayah with AI voice and English translation. Example: Surah 1, Ayah 1 = Al-Fatiha"
)

interface.launch()