Update app.py

app.py

@@ -1,59 +1,79 @@
+# app.py
 import gradio as gr
+import torch
+import soundfile as sf
 import requests
-from TTS.api import TTS
-
-# ✅ Load multilingual TTS model (Coqui or Hugging Face compatible)
-tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts")
-
-# ✅ Use correct API endpoint
-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()  # Raise HTTPError for bad response
-        data = response.json()
-        
-        # Check if data is valid
-        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 "Ayat not found.", "Translation not found."
-
-    except Exception as e:
-        return f"API Error: {e}", ""
-
-# ✅ Main function for Gradio
-def qari_bot(surah, ayat):
-    arabic_text, translation = get_quran_ayat(surah, ayat)
-    if "Error" in arabic_text or "not found" in arabic_text:
-        return arabic_text, translation, None
-
-    # Generate TTS
-    tts.tts_to_file(
-        text=arabic_text,
-        speaker_wav=None,
-        language="ar",
-        file_path="ayat.wav"
+from openai import OpenAI
+
+# === Your small sample Quran data ===
+QURAN = {
+    ("Al-Fatiha", 1): {
+        "arabic": "بِسْمِ اللَّهِ الرَّحْمَٰنِ الرَّحِيمِ",
+        "translation": "In the name of Allah, the Most Gracious, the Most Merciful."
+    },
+    ("Al-Fatiha", 2): {
+        "arabic": "الْحَمْدُ لِلَّهِ رَبِّ الْعَالَمِينَ",
+        "translation": "All praise is for Allah—Lord of all worlds."
+    }
+}
+
+# === TTS Model ===
+device = torch.device('cpu')
+local_file = torch.hub.load('snakers4/silero-models',
+                            'download_models',
+                            language='ar',
+                            speaker='v3_ar')
+model = torch.hub.load('snakers4/silero-models',
+                       'silero_tts',
+                       language='ar',
+                       speaker='v3_ar')
+
+# === OpenAI Client ===
+client = OpenAI()  # requires your OPENAI_API_KEY in your env vars
+
+# === Recite Ayah ===
+def recite_ayah(text):
+    audio = model.apply_tts(text=text, speaker='v3_ar')
+    sf.write('recitation.wav', audio, 48000)
+    return 'recitation.wav'
+
+# === Explain Ayah ===
+def explain_ayah(arabic, translation):
+    prompt = f"""You are an Islamic teacher. 
+    The Ayah is: {arabic}  
+    Translation: {translation}  
+    Please explain this Ayah in simple Urdu in 2-3 lines."""
+    
+    response = client.chat.completions.create(
+        model="gpt-4o",
+        messages=[
+            {"role": "system", "content": "You are a helpful Islamic scholar."},
+            {"role": "user", "content": prompt}
+        ]
     )
-    return arabic_text, translation, "ayat.wav"
-
-# ✅ Gradio Interface
-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 Surah & Ayat number to hear the Quran Ayat with AI voice and translation. Example: Surah 1, Ayat 1 (Al-Fatiha)"
-)
-
-interface.launch()
+    return response.choices[0].message.content.strip()
+
+# === Gradio Interface ===
+def qari_bot(surah, ayah):
+    key = (surah, int(ayah))
+    if key in QURAN:
+        arabic = QURAN[key]['arabic']
+        translation = QURAN[key]['translation']
+        recitation = recite_ayah(arabic)
+        tafsir = explain_ayah(arabic, translation)
+        return arabic, translation, recitation, tafsir
+    else:
+        return "Ayah not found", "", None, ""
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 🕌 AI Qari Bot")
+    gr.Markdown("Select Surah & Ayah to listen, read translation, and get Tafsir in Urdu.")
+
+    surah = gr.Dropdown(choices=["Al-Fatiha"], label="Surah", value="Al-Fatiha")
+    ayah = gr.Number(value=1, label="Ayah Number")
+
+    btn = gr.Button("Get Ayah")
+
+    arabic = gr.Textbox(label="Arabic Text")
+    transl