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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() | |
| # 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 | |
| # # 🔁 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 | |
| # } | |
| # # ✅ 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 Surah | |
| # 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 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 "❌ 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=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 | |
| # # 📚 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), | |
| # # ➕ Add all 114 surahs with total ayats here | |
| # } | |
| # # ✅ Load TTS model | |
| # tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2") | |
| # speaker = "random" # or "en_0", "ar_0" | |
| # # 🎧 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 "❌ 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'] | |
| # # 🔊 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 | |
| # # 🧠 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]) | |
| # # 🎛️ Gradio Interface | |
| # with gr.Blocks(title="📖 AI Quran Reciter") as demo: | |
| # gr.Markdown("### 📖 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("📥 Recite") | |
| # arabic = gr.Textbox(label="📜 Arabic Text") | |
| # english = gr.Textbox(label="🌐 English Translation") | |
| # audio = gr.Audio(label="🔊 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 | |
| # ✅ Accept Coqui TTS license | |
| os.environ["COQUI_TOS_AGREED"] = "1" | |
| # 🔁 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), | |
| # 👉 Add remaining up to Surah 114 | |
| "An-Nas": (114, 6), | |
| } | |
| # ✅ 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. | |
| # 📖 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"❌ 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'] | |
| # 🔊 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 | |
| # 🧠 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]) | |
| # 🎛️ Gradio UI | |
| with gr.Blocks(title="📖 AI Quran Reciter") as demo: | |
| gr.Markdown("## 📖 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("📥 Recite") | |
| arabic = gr.Textbox(label="📜 Arabic Text") | |
| english = gr.Textbox(label="🌐 English Translation") | |
| audio = gr.Audio(label="🔊 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() | |