Update app.py

app.py

@@ -62,11 +62,78 @@
 
 # interface.launch()
 
+# import gradio as gr
+# import requests
+# from TTS.api import TTS
+
+# # 🔁 Map Surah names to numbers
+# surah_map = {
+#     "Al-Fatiha": 1,
+#     "Al-Baqarah": 2,
+#     "Aal-i-Imran": 3,
+#     "An-Nisa": 4,
+#     "Al-Ma'idah": 5,
+#     "Al-An'am": 6,
+#     "Al-A'raf": 7,
+#     "Al-Anfal": 8,
+#     "At-Tawbah": 9,
+#     "Yunus": 10,
+#     # ➕ Add more if needed...
+# }
+
+# # ✅ Load multilingual TTS model
+# tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts")
+
+# # 📖 Fetch full Surah (Arabic + English)
+# def fetch_surah(surah_name):
+#     surah_num = surah_map.get(surah_name)
+#     if not surah_num:
+#         return "Invalid Surah name.", "", None
+
+#     try:
+#         url = f"https://api.alquran.cloud/v1/surah/{surah_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_ayahs = data['data'][0]['ayahs']
+#             english_ayahs = data['data'][1]['ayahs']
+
+#             arabic_text = "\n".join([a['text'] for a in arabic_ayahs])
+#             english_text = "\n".join([e['text'] for e in english_ayahs])
+
+#             # Generate audio
+#             audio_path = "surah.wav"
+#             tts.tts_to_file(text=arabic_text, file_path=audio_path, language="ar")
+#             return arabic_text, english_text, audio_path
+#         else:
+#             return "❌ Surah not found.", "", None
+
+#     except Exception as e:
+#         return f"❌ API Error: {e}", "", None
+
+# # 🎛️ Gradio UI
+# interface = gr.Interface(
+#     fn=fetch_surah,
+#     inputs=gr.Dropdown(choices=list(surah_map.keys()), label="Select Surah"),
+#     outputs=[
+#         gr.Textbox(label="📜 Arabic Ayahs"),
+#         gr.Textbox(label="🌐 English Translation"),
+#         gr.Audio(label="🔊 Arabic Voice Recitation")
+#     ],
+#     title="📖 AI Qari Bot",
+#     description="Select a Surah name to listen to Arabic AI recitation with English translation."
+# )
+
+# interface.launch()
+
+
 import gradio as gr
 import requests
 from TTS.api import TTS
 
-# 🔁 Map Surah names to numbers
+# 🔁 Surah name mapping
 surah_map = {
     "Al-Fatiha": 1,
     "Al-Baqarah": 2,
@@ -78,17 +145,19 @@ surah_map = {
     "Al-Anfal": 8,
     "At-Tawbah": 9,
     "Yunus": 10,
-    # ➕ Add more if needed...
+    # Add more if needed
 }
 
-# ✅ Load multilingual TTS model
+# ✅ Load TTS model with speaker
 tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts")
+available_speakers = tts.speakers
+default_speaker = available_speakers[0]  # Pick the first available speaker
 
-# 📖 Fetch full Surah (Arabic + English)
+# 📖 Fetch Surah
 def fetch_surah(surah_name):
     surah_num = surah_map.get(surah_name)
     if not surah_num:
-        return "Invalid Surah name.", "", None
+        return "❌ Invalid Surah name.", "", None
 
     try:
         url = f"https://api.alquran.cloud/v1/surah/{surah_num}/editions/quran-simple,en.asad"
@@ -103,9 +172,15 @@ def fetch_surah(surah_name):
             arabic_text = "\n".join([a['text'] for a in arabic_ayahs])
             english_text = "\n".join([e['text'] for e in english_ayahs])
 
-            # Generate audio
+            # 🔊 Generate voice
             audio_path = "surah.wav"
-            tts.tts_to_file(text=arabic_text, file_path=audio_path, language="ar")
+            tts.tts_to_file(
+                text=arabic_text,
+                speaker=default_speaker,
+                language="ar",
+                file_path=audio_path
+            )
+
             return arabic_text, english_text, audio_path
         else:
             return "❌ Surah not found.", "", None
@@ -123,7 +198,7 @@ interface = gr.Interface(
         gr.Audio(label="🔊 Arabic Voice Recitation")
     ],
     title="📖 AI Qari Bot",
-    description="Select a Surah name to listen to Arabic AI recitation with English translation."
+    description=f"Select a Surah to hear AI recitation. Model speaker used: {default_speaker}"
 )
 
 interface.launch()