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# import gradio as gr
# import requests
# from TTS.api import TTS
# import os
# # β
Load TTS model (Make sure model is downloaded or install TTS first)
# tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts")
# # β
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 "β Ayah not found.", "β Translation not found."
# except Exception as e:
# return f"β API Error: {e}", ""
# # β
Gradio main function
# def qari_bot(surah, ayah):
# arabic_text, translation = get_quran_ayat(surah, ayah)
# # Return early if error
# if "β" 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"β TTS Error: {e}"
# # β
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="π Arabic Ayah"),
# gr.Textbox(label="π Translation (English)"),
# gr.Audio(label="π Listen to Ayah")
# ],
# title="π 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()
# import gradio as gr
# import requests
# from TTS.api import TTS
# # π 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,
# # β Add more if needed...
# }
# # β
Load multilingual TTS model
# tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts")
# # π 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 "β Surah not found.", "", None
# except Exception as e:
# return f"β API Error: {e}", "", None
# # ποΈ Gradio UI
# interface = gr.Interface(
# fn=fetch_surah,
# inputs=gr.Dropdown(choices=list(surah_map.keys()), label="Select Surah"),
# outputs=[
# gr.Textbox(label="π Arabic Ayahs"),
# gr.Textbox(label="π English Translation"),
# gr.Audio(label="π Arabic Voice Recitation")
# ],
# title="π 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
# # π Surah name mapping
# 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
# }
# # β
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
# # π Fetch Surah
# def fetch_surah(surah_name):
# surah_num = surah_map.get(surah_name)
# if not surah_num:
# return "β 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])
# # π Generate voice
# audio_path = "surah.wav"
# 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 "β Surah not found.", "", None
# except Exception as e:
# return f"β API Error: {e}", "", None
# # ποΈ Gradio UI
# interface = gr.Interface(
# fn=fetch_surah,
# inputs=gr.Dropdown(choices=list(surah_map.keys()), label="Select Surah"),
# outputs=[
# gr.Textbox(label="π Arabic Ayahs"),
# gr.Textbox(label="π English Translation"),
# gr.Audio(label="π Arabic Voice Recitation")
# ],
# title="π AI Qari Bot",
# description=f"Select a Surah to hear AI recitation. Model speaker used: {default_speaker}"
# )
# interface.launch()
# import gradio as gr
# import requests
# from TTS.api import TTS
# # π Surah names and numbers (partial shown, full in full code)
# surah_info = {
# "Al-Fatiha": (1, 7),
# "Al-Baqarah": (2, 286),
# "Aal-i-Imran": (3, 200),
# "An-Nisa": (4, 176),
# "Al-Ma'idah": (5, 120),
# "Al-An'am": (6, 165),
# "Al-A'raf": (7, 206),
# "Al-Anfal": (8, 75),
# "At-Tawbah": (9, 129),
# "Yunus": (10, 109),
# # β Add all 114 surahs with total ayats here
# }
# # β
Load TTS model
# tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2")
# speaker = "random" # or "en_0", "ar_0"
# # π§ Main Function
# def ai_quran(surah_name, ayat_num, mode):
# surah_num, total_ayats = surah_info.get(surah_name, (None, None))
# if not surah_num:
# return "Invalid Surah", "", None
# if mode == "Full Surah":
# url = f"https://api.alquran.cloud/v1/surah/{surah_num}/editions/quran-simple,en.asad"
# else: # Single Ayah
# if ayat_num < 1 or ayat_num > total_ayats:
# return "β Invalid Ayat number", "", None
# url = f"https://api.alquran.cloud/v1/ayah/{surah_num}:{ayat_num}/editions/quran-simple,en.asad"
# try:
# res = requests.get(url)
# res.raise_for_status()
# data = res.json()
# if mode == "Full Surah":
# 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])
# else:
# arabic_text = data['data'][0]['text']
# english_text = data['data'][1]['text']
# # π Generate TTS
# audio_path = "ayat.wav"
# tts.tts_to_file(
# text=arabic_text,
# speaker=speaker,
# language="ar",
# file_path=audio_path
# )
# return arabic_text, english_text, audio_path
# except Exception as e:
# return f"API Error: {e}", "", None
# # π§ Mode Selector
# def update_ayat_field(mode, surah):
# if mode == "Full Surah":
# return gr.update(visible=False)
# return gr.update(visible=True, maximum=surah_info[surah][1])
# # ποΈ Gradio Interface
# with gr.Blocks(title="π AI Quran Reciter") as demo:
# gr.Markdown("### π AI Quran Reciter with Voice | XTTSv2 Arabic TTS")
# with gr.Row():
# mode = gr.Radio(["Full Surah", "Single Ayat"], value="Full Surah", label="Mode")
# surah = gr.Dropdown(choices=list(surah_info.keys()), label="Select Surah", value="Al-Fatiha")
# ayat = gr.Number(label="Ayat Number", visible=False)
# run = gr.Button("π₯ Recite")
# arabic = gr.Textbox(label="π Arabic Text")
# english = gr.Textbox(label="π English Translation")
# audio = gr.Audio(label="π Listen")
# # Event handlers
# mode.change(update_ayat_field, inputs=[mode, surah], outputs=ayat)
# surah.change(update_ayat_field, inputs=[mode, surah], outputs=ayat)
# run.click(fn=ai_quran, inputs=[surah, ayat, mode], outputs=[arabic, english, audio])
# demo.launch()
import os
import gradio as gr
import requests
from TTS.api import TTS
# β
Accept Coqui TTS license
os.environ["COQUI_TOS_AGREED"] = "1"
# π Surah info: name -> (number, total ayats)
surah_info = {
"Al-Fatiha": (1, 7),
"Al-Baqarah": (2, 286),
"Aal-i-Imran": (3, 200),
"An-Nisa": (4, 176),
"Al-Ma'idah": (5, 120),
"Al-An'am": (6, 165),
"Al-A'raf": (7, 206),
"Al-Anfal": (8, 75),
"At-Tawbah": (9, 129),
"Yunus": (10, 109),
"Hud": (11, 123),
"Yusuf": (12, 111),
"Ar-Ra'd": (13, 43),
"Ibrahim": (14, 52),
"Al-Hijr": (15, 99),
"An-Nahl": (16, 128),
"Al-Isra": (17, 111),
"Al-Kahf": (18, 110),
"Maryam": (19, 98),
"Taha": (20, 135),
# π Add remaining up to Surah 114
"An-Nas": (114, 6),
}
# β
Load TTS with Arabic + speaker support
tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2")
speaker = "random" # or use "en_0", "ar_0" etc.
# π Main function
def ai_quran(surah_name, ayat_num, mode):
surah_num, total_ayats = surah_info.get(surah_name, (None, None))
if not surah_num:
return "Invalid Surah", "", None
if mode == "Full Surah":
url = f"https://api.alquran.cloud/v1/surah/{surah_num}/editions/quran-simple,en.asad"
else: # Single Ayah
if not ayat_num or ayat_num < 1 or ayat_num > total_ayats:
return f"β Ayat number must be between 1 and {total_ayats}", "", None
url = f"https://api.alquran.cloud/v1/ayah/{surah_num}:{ayat_num}/editions/quran-simple,en.asad"
try:
res = requests.get(url)
res.raise_for_status()
data = res.json()
if mode == "Full Surah":
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])
else:
arabic_text = data['data'][0]['text']
english_text = data['data'][1]['text']
# π Generate TTS
audio_path = "ayat.wav"
tts.tts_to_file(
text=arabic_text,
speaker=speaker,
language="ar",
file_path=audio_path
)
return arabic_text, english_text, audio_path
except Exception as e:
return f"API Error: {e}", "", None
# π§ Ayat field visibility toggle
def toggle_ayat(mode, surah):
if mode == "Full Surah":
return gr.update(visible=False)
return gr.update(visible=True, maximum=surah_info[surah][1])
# ποΈ Gradio UI
with gr.Blocks(title="π AI Quran Reciter") as demo:
gr.Markdown("## π AI Quran Reciter with Arabic Voice | XTTSv2 Model")
with gr.Row():
mode = gr.Radio(["Full Surah", "Single Ayat"], label="Mode", value="Full Surah")
surah = gr.Dropdown(choices=list(surah_info.keys()), label="Surah", value="Al-Fatiha")
ayat = gr.Number(label="Ayat Number", visible=False)
recite_btn = gr.Button("π₯ Recite")
arabic = gr.Textbox(label="π Arabic Text")
english = gr.Textbox(label="π English Translation")
audio = gr.Audio(label="π Listen")
# Event hooks
mode.change(toggle_ayat, inputs=[mode, surah], outputs=ayat)
surah.change(toggle_ayat, inputs=[mode, surah], outputs=ayat)
recite_btn.click(ai_quran, inputs=[surah, ayat, mode], outputs=[arabic, english, audio])
demo.launch()
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