Create app.py

app.py

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+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()