Spaces:
Sleeping
Sleeping
| # 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() | |
| # import os | |
| # import gradio as gr | |
| # import requests | |
| # from TTS.api import TTS | |
| # # ✅ Accept Coqui license for Hugging Face Space | |
| # os.environ["COQUI_TOS_AGREED"] = "1" | |
| # # ✅ Fix PyTorch 2.6 checkpoint loading issue | |
| # import torch | |
| # from torch.serialization import add_safe_globals | |
| # from TTS.tts.configs.xtts_config import XttsConfig | |
| # add_safe_globals([XttsConfig]) | |
| # # ✅ Load multilingual XTTSv2 model (speaker supported) | |
| # tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2") | |
| # speaker_wav = None # Optional: path to your own .wav voice file | |
| # # Surah list with Ayah counts (can be extended) | |
| # 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), | |
| # "Al-Anbiya": (21, 112), | |
| # "Al-Hajj": (22, 78), | |
| # "Al-Mu'minun": (23, 118), | |
| # "An-Nur": (24, 64), | |
| # "Al-Furqan": (25, 77), | |
| # "Ash-Shu'ara": (26, 227), | |
| # "An-Naml": (27, 93), | |
| # "Al-Qasas": (28, 88), | |
| # "Al-Ankabut": (29, 69), | |
| # "Ar-Rum": (30, 60), | |
| # "Luqman": (31, 34), | |
| # "As-Sajda": (32, 30), | |
| # "Al-Ahzab": (33, 73), | |
| # "Saba": (34, 54), | |
| # "Fatir": (35, 45), | |
| # "Ya-Sin": (36, 83), | |
| # "As-Saffat": (37, 182), | |
| # "Sad": (38, 88), | |
| # "Az-Zumar": (39, 75), | |
| # "Ghafir": (40, 85), | |
| # "Fussilat": (41, 54), | |
| # "Ash-Shura": (42, 53), | |
| # "Az-Zukhruf": (43, 89), | |
| # "Ad-Dukhan": (44, 59), | |
| # "Al-Jathiya": (45, 37), | |
| # "Al-Ahqaf": (46, 35), | |
| # "Muhammad": (47, 38), | |
| # "Al-Fath": (48, 29), | |
| # "Al-Hujurat": (49, 18), | |
| # "Qaf": (50, 45), | |
| # "Adh-Dhariyat": (51, 60), | |
| # "At-Tur": (52, 49), | |
| # "An-Najm": (53, 62), | |
| # "Al-Qamar": (54, 55), | |
| # "Ar-Rahman": (55, 78), | |
| # "Al-Waqia": (56, 96), | |
| # "Al-Hadid": (57, 29), | |
| # "Al-Mujadila": (58, 22), | |
| # "Al-Hashr": (59, 24), | |
| # "Al-Mumtahina": (60, 13), | |
| # "As-Saff": (61, 14), | |
| # "Al-Jumu'a": (62, 11), | |
| # "Al-Munafiqun": (63, 11), | |
| # "At-Taghabun": (64, 18), | |
| # "At-Talaq": (65, 12), | |
| # "At-Tahrim": (66, 12), | |
| # "Al-Mulk": (67, 30), | |
| # "Al-Qalam": (68, 52), | |
| # "Al-Haqqa": (69, 52), | |
| # "Al-Ma'arij": (70, 44), | |
| # "Nuh": (71, 28), | |
| # "Al-Jinn": (72, 28), | |
| # "Al-Muzzammil": (73, 20), | |
| # "Al-Muddaththir": (74, 56), | |
| # "Al-Qiyamah": (75, 40), | |
| # "Al-Insan": (76, 31), | |
| # "Al-Mursalat": (77, 50), | |
| # "An-Naba": (78, 40), | |
| # "An-Nazi'at": (79, 46), | |
| # "Abasa": (80, 42), | |
| # "At-Takwir": (81, 29), | |
| # "Al-Infitar": (82, 19), | |
| # "Al-Mutaffifin": (83, 36), | |
| # "Al-Inshiqaq": (84, 25), | |
| # "Al-Buruj": (85, 22), | |
| # "At-Tariq": (86, 17), | |
| # "Al-A'la": (87, 19), | |
| # "Al-Ghashiyah": (88, 26), | |
| # "Al-Fajr": (89, 30), | |
| # "Al-Balad": (90, 20), | |
| # "Ash-Shams": (91, 15), | |
| # "Al-Layl": (92, 21), | |
| # "Ad-Duha": (93, 11), | |
| # "Ash-Sharh": (94, 8), | |
| # "At-Tin": (95, 8), | |
| # "Al-Alaq": (96, 19), | |
| # "Al-Qadr": (97, 5), | |
| # "Al-Bayyina": (98, 8), | |
| # "Az-Zalzalah": (99, 8), | |
| # "Al-Adiyat": (100, 11), | |
| # "Al-Qari'a": (101, 11), | |
| # "At-Takathur": (102, 8), | |
| # "Al-Asr": (103, 3), | |
| # "Al-Humazah": (104, 9), | |
| # "Al-Fil": (105, 5), | |
| # "Quraysh": (106, 4), | |
| # "Al-Ma'un": (107, 7), | |
| # "Al-Kawthar": (108, 3), | |
| # "Al-Kafirun": (109, 6), | |
| # "An-Nasr": (110, 3), | |
| # "Al-Masad": (111, 5), | |
| # "Al-Ikhlas": (112, 4), | |
| # "Al-Falaq": (113, 5), | |
| # "An-Nas": (114, 6) | |
| # } | |
| # def recite_quran(surah_name, ayah_number, mode): | |
| # surah_num, total_ayahs = surah_info[surah_name] | |
| # if mode == "Full Surah": | |
| # url = f"https://api.alquran.cloud/v1/surah/{surah_num}/editions/quran-simple,en.asad" | |
| # else: | |
| # if not (1 <= ayah_number <= total_ayahs): | |
| # return f"Ayat must be between 1 and {total_ayahs}", "", None | |
| # url = f"https://api.alquran.cloud/v1/ayah/{surah_num}:{ayah_number}/editions/quran-simple,en.asad" | |
| # try: | |
| # res = requests.get(url) | |
| # res.raise_for_status() | |
| # data = res.json() | |
| # if mode == "Full Surah": | |
| # arabic = "\n".join([a['text'] for a in data['data'][0]['ayahs']]) | |
| # english = "\n".join([a['text'] for a in data['data'][1]['ayahs']]) | |
| # else: | |
| # arabic = data['data'][0]['text'] | |
| # english = data['data'][1]['text'] | |
| # audio_path = "output.wav" | |
| # tts.tts_to_file( | |
| # text=arabic, | |
| # speaker_wav=speaker_wav, | |
| # language="ar", | |
| # file_path=audio_path | |
| # ) | |
| # return arabic, english, audio_path | |
| # except Exception as e: | |
| # return f"❌ Error: {e}", "", None | |
| # def toggle_ayah_visibility(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="📖 Quran AI Reader (with Speaker)") as demo: | |
| # gr.Markdown("## 🕌 AI Quran Reciter using XTTSv2 (Arabic Voice with Speaker)") | |
| # 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") | |
| # ayah = gr.Number(label="Ayat Number", visible=False) | |
| # recite_btn = gr.Button("🎧 Recite") | |
| # arabic_box = gr.Textbox(label="📜 Arabic Text") | |
| # english_box = gr.Textbox(label="🌐 English Translation") | |
| # audio_output = gr.Audio(label="🔊 Listen") | |
| # mode.change(toggle_ayah_visibility, inputs=[mode, surah], outputs=ayah) | |
| # surah.change(toggle_ayah_visibility, inputs=[mode, surah], outputs=ayah) | |
| # recite_btn.click(recite_quran, inputs=[surah, ayah, mode], outputs=[arabic_box, english_box, audio_output]) | |
| # demo.launch() | |
| # app.py | |
| # app.py | |
| # import gradio as gr | |
| # import requests | |
| # import torch | |
| # from TTS.api import TTS # ✅ This is the correct class | |
| # import TTS.tts.configs.xtts_config | |
| # import TTS.tts.models.xtts | |
| # # ✅ Required for PyTorch 2.6+ for XTTS models | |
| # torch.serialization.add_safe_globals([ | |
| # TTS.tts.configs.xtts_config.XttsConfig, | |
| # TTS.tts.models.xtts.XttsAudioConfig | |
| # ]) | |
| # # ✅ Load XTTS v2 Model (Arabic + Speaker Cloning Support) | |
| # tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2") | |
| # # ✅ Fetch Full Surah in Arabic & English | |
| # def get_surah_text(surah_name): | |
| # try: | |
| # url = f"https://api.alquran.cloud/v1/surah/{surah_name}/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 = "\n".join([a['text'] for a in data['data'][0]['ayahs']]) | |
| # translation = "\n".join([t['text'] for t in data['data'][1]['ayahs']]) | |
| # return arabic, translation | |
| # return "Surah not found.", "Translation not found." | |
| # except Exception as e: | |
| # return f"API Error: {e}", "" | |
| # # ✅ Gradio Inference Function | |
| # def qari_bot(surah_name, speaker_audio): | |
| # arabic_text, translation = get_surah_text(surah_name) | |
| # if "Error" in arabic_text or "not found" in arabic_text: | |
| # return arabic_text, translation, None | |
| # # ✅ Generate TTS with optional speaker audio | |
| # tts.tts_to_file( | |
| # text=arabic_text, | |
| # speaker_wav=speaker_audio if speaker_audio else None, | |
| # language="ar", | |
| # file_path="output.wav" | |
| # ) | |
| # return arabic_text, translation, "output.wav" | |
| # # ✅ Gradio Interface | |
| # interface = gr.Interface( | |
| # fn=qari_bot, | |
| # inputs=[ | |
| # gr.Textbox(label="Surah Name (e.g., Al-Fatiha, An-Nas)", placeholder="Enter Surah name"), | |
| # gr.Audio(label="Upload Speaker Audio (Optional)", type="filepath") | |
| # ], | |
| # outputs=[ | |
| # gr.Textbox(label="📜 Arabic Text"), | |
| # gr.Textbox(label="🌐 English Translation"), | |
| # gr.Audio(label="🔊 Quran Recitation") | |
| # ], | |
| # title="🕌 AI Qari Bot", | |
| # description="Enter a Surah name to hear full Arabic recitation with optional speaker voice." | |
| # ) | |
| # interface.launch() | |
| import gradio as gr | |
| import torch | |
| from TTS.api import TTS # ✅ Correct import | |
| # ✅ XTTS config safe for PyTorch 2.6 | |
| import TTS.tts.configs.xtts_config | |
| import TTS.tts.models.xtts | |
| torch.serialization.add_safe_globals([ | |
| TTS.tts.configs.xtts_config.XttsConfig, | |
| TTS.tts.models.xtts.XttsAudioConfig | |
| ]) | |
| # ✅ Load XTTS v2 model | |
| tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2") | |
| # ✅ Simple example function | |
| def generate_voice(text): | |
| tts.tts_to_file( | |
| text=text, | |
| file_path="voice.wav", | |
| language="en" # change to "ar" for Arabic | |
| ) | |
| return "voice.wav" | |
| # ✅ Gradio interface | |
| gr.Interface( | |
| fn=generate_voice, | |
| inputs=gr.Textbox(label="Enter text to speak"), | |
| outputs=gr.Audio(label="Generated Audio"), | |
| title="AI Voice (XTTS v2)", | |
| description="Enter text and get AI voice using XTTS v2 model" | |
| ).launch() | |