Create app.py

app.py

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+import gradio as gr
+import requests
+from TTS.api import TTS
+
+# 1️⃣ Load Multilingual TTS Model
+# Note: This is an example, you can use other Arabic-capable TTS models from Hugging Face or Coqui.
+tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts")
+
+# 2️⃣ Function to fetch Ayat + translation
+def get_quran_ayat(surah_num, ayat_num):
+    url = f"http://api.alquran.cloud/v1/ayah/{surah_num}:{ayat_num}/editions/quran-simple,en.asad"
+    response = requests.get(url)
+    if response.status_code == 200:
+        data = response.json()['data']
+        arabic_text = data[0]['text']
+        translation = data[1]['text']
+        return arabic_text, translation
+    else:
+        return "Error fetching Ayat. Please check the Surah/Ayat number.", ""
+
+# 3️⃣ Main function for Gradio
+def qari_bot(surah, ayat):
+    arabic_text, translation = get_quran_ayat(surah, ayat)
+    # Generate TTS audio file
+    tts.tts_to_file(
+        text=arabic_text,
+        speaker_wav=None,
+        language="ar",
+        file_path="ayat.wav"
+    )
+    return arabic_text, translation, "ayat.wav"
+
+# 4️⃣ Gradio UI
+interface = gr.Interface(
+    fn=qari_bot,
+    inputs=[
+        gr.Number(label="Surah Number", value=1),
+        gr.Number(label="Ayat Number", value=1)
+    ],
+    outputs=[
+        gr.Textbox(label="📜 Arabic Ayat"),
+        gr.Textbox(label="🌐 Translation (English)"),
+        gr.Audio(label="🔊 Listen to Ayat")
+    ],
+    title="📖 AI Qari Bot",
+    description=(
+        "Enter any Surah & Ayat number to hear the Quran Ayat in Arabic "
+        "with AI voice and see its translation.\n"
+        "Example: Surah 1, Ayat 1 (Al-Fatiha)"
+    ),
+)
+
+# 5️⃣ Run on Spaces
+interface.launch()