Qwen-Audio-3.0-Realtime-Plus — Alibaba’ning jonli ovozli muloqot modeli. U nutq va matnni qabul qiladi, audio va matn bilan javob beradi hamda tabiiy navbat almashishga ega ikki tomonlama suhbatni qo‘llab-quvvatlaydi. Ovozni qismlarga bo‘lib yuborish va olish mumkin, shu sababli o‘zaro muloqot suhbat davomida rivojlanadi.
Replika chegarasini aniqlashning bir necha usuli mavjud: ovoz faolligi, mazmunning tugallanganligi va aniq boshqaruv orqali. Ishlab chiqaruvchida rejim birinchi audio yuborilishidan oldin tanlanadi; suhbat boshlanganidan keyin uni o‘zgartirish uchun yangi ulanish kerak. Bunday boshqaruvning qo‘llab-quvvatlanishi tanlangan metodga bog‘liq. Mazmunga asoslangan rejim pauzalar va nutqdagi to‘ldiruvchi so‘zlarni hisobga oladi: qisqa ikkilanish foydalanuvchi fikrini tugatganini har doim ham anglatmaydi. Foydalanuvchining yangi nutqi shakllanayotgan javobni to‘xtatishi mumkin, shunda suhbat keyingi replika hisobga olingan holda davom etadi. Mazmunga asoslangan rejimda nutqni tanishni tanlangan suhbatdoshning ovoz namunasiga yo‘naltirish mumkin; bu boshqa ovozlar va fon shovqiniga kamroq chalg‘ishga yordam beradi.
Ko‘rsatmalar yordamchining roli va muloqot uslubini belgilaydi. Ovozli ifoda ohang, sur’at va hissiyotni hisobga olishi mumkin; 3.0 versiyasi uchun beshta tizim ovozi va nutq namunasidan yaratilgan ovozlar ko‘zda tutilgan. Model 11 ta tilni, jumladan, rus tilini, shuningdek, ishlab chiqaruvchi ko‘rsatgan xitoy lahja variantlarini qo‘llab-quvvatlaydi. Ishlab chiqaruvchida ovoz sessiya sozlamalari birinchi marta yangilanganda belgilanadi; keyin shu suhbatda yuborilgan yangi ovoz e’tiborga olinmaydi. Bu sozlamalar tanlangan murojaat usuli tomonidan qo‘llab-quvvatlanishi kerak.
Funksiya chaqirish qo‘llab-quvvatlanadi. Model kerakli amalni shakllantiradi, ulangan ilova uni bajaradi va natijani suhbatga qaytaradi. Bu suhbatni haqiqiy ma’lumotlarga tayangan holda qurish va bajarilgan amaldan keyin davom ettirish imkonini beradi. Ovozli yordamchi suhbat kontekstini saqlagan holda vositalar natijalariga tayanishi mumkin. Ishlab chiqaruvchi imkoniyatlariga ichki veb-qidiruv ham kiradi, agar tanlangan metod uni taqdim etsa. Veb-qidiruv va funksiya chaqirishni bitta sessiyada bir vaqtda yoqib bo‘lmaydi.
Standart holatda tarix 20 ta suhbat navbatini saqlaydi, birdan 50 tagacha oraliq ko‘zda tutilgan. To‘plangan audio uchun 300 soniyalik chegara belgilangan; cheklovlar oshirilganda tarixning eski qismlari o‘chiriladi. Bu alohida replika davomiyligidan farq qiladi: tarix suhbat davom ettirilganda oldingi materialning qaysi qismi mavjud bo‘lib qolishini belgilaydi.
Rasmiy kontekst hajmi 40 960 tokenni tashkil etadi. Kirishning eng katta uzunligi — 16 384 token, chiqishniki — 8192; mulohaza yuritish rejimi uchun ham shu kirish va chiqish chegaralari ko‘rsatilgan, mulohaza zanjiri uchun esa alohida 1024 tokenlik chegara mavjud.
Oqimli ovoz uchun 16 bitli, bir kanalli PCM ko‘zda tutilgan: kirishda — 16 kHz, chiqishda — 24 kHz. Matn va audio ma’lumotlari bir suhbatga tegishli. Aynan shu model uchun vizual kirish va tasvir chiqarish e’lon qilinmagan; uning ixtisosligi — nutq, matn va ovozli muloqot.
", "aboutText": "Qwen-Audio-3.0-Realtime-Plus — Alibaba’ning jonli ovozli muloqot modeli. U nutq va matnni qabul qiladi, audio va matn bilan javob beradi hamda tabiiy navbat almashishga ega ikki tomonlama suhbatni qo‘llab-quvvatlaydi. Ovozni qismlarga bo‘lib yuborish va olish mumkin, shu sababli o‘zaro muloqot suhbat davomida rivojlanadi.\n\n### Suhbatdosh fikrini qachon tugatganini aniqlash\n\nReplika chegarasini aniqlashning bir necha usuli mavjud: ovoz faolligi, mazmunning tugallanganligi va aniq boshqaruv orqali. Ishlab chiqaruvchida rejim birinchi audio yuborilishidan oldin tanlanadi; suhbat boshlanganidan keyin uni o‘zgartirish uchun yangi ulanish kerak. Bunday boshqaruvning qo‘llab-quvvatlanishi tanlangan metodga bog‘liq. Mazmunga asoslangan rejim pauzalar va nutqdagi to‘ldiruvchi so‘zlarni hisobga oladi: qisqa ikkilanish foydalanuvchi fikrini tugatganini har doim ham anglatmaydi. Foydalanuvchining yangi nutqi shakllanayotgan javobni to‘xtatishi mumkin, shunda suhbat keyingi replika hisobga olingan holda davom etadi. Mazmunga asoslangan rejimda nutqni tanishni tanlangan suhbatdoshning ovoz namunasiga yo‘naltirish mumkin; bu boshqa ovozlar va fon shovqiniga kamroq chalg‘ishga yordam beradi.\n\nKo‘rsatmalar yordamchining roli va muloqot uslubini belgilaydi. Ovozli ifoda ohang, sur’at va hissiyotni hisobga olishi mumkin; 3.0 versiyasi uchun beshta tizim ovozi va nutq namunasidan yaratilgan ovozlar ko‘zda tutilgan. Model 11 ta tilni, jumladan, rus tilini, shuningdek, ishlab chiqaruvchi ko‘rsatgan xitoy lahja variantlarini qo‘llab-quvvatlaydi. Ishlab chiqaruvchida ovoz sessiya sozlamalari birinchi marta yangilanganda belgilanadi; keyin shu suhbatda yuborilgan yangi ovoz e’tiborga olinmaydi. Bu sozlamalar tanlangan murojaat usuli tomonidan qo‘llab-quvvatlanishi kerak.\n\n### Vositalar va suhbat tarixi\n\nFunksiya chaqirish qo‘llab-quvvatlanadi. Model kerakli amalni shakllantiradi, ulangan ilova uni bajaradi va natijani suhbatga qaytaradi. Bu suhbatni haqiqiy ma’lumotlarga tayangan holda qurish va bajarilgan amaldan keyin davom ettirish imkonini beradi. Ovozli yordamchi suhbat kontekstini saqlagan holda vositalar natijalariga tayanishi mumkin. Ishlab chiqaruvchi imkoniyatlariga ichki veb-qidiruv ham kiradi, agar tanlangan metod uni taqdim etsa. Veb-qidiruv va funksiya chaqirishni bitta sessiyada bir vaqtda yoqib bo‘lmaydi.\n\nStandart holatda tarix 20 ta suhbat navbatini saqlaydi, birdan 50 tagacha oraliq ko‘zda tutilgan. To‘plangan audio uchun 300 soniyalik chegara belgilangan; cheklovlar oshirilganda tarixning eski qismlari o‘chiriladi. Bu alohida replika davomiyligidan farq qiladi: tarix suhbat davom ettirilganda oldingi materialning qaysi qismi mavjud bo‘lib qolishini belgilaydi.\n\n### Matn konteksti va ovoz\n\nRasmiy kontekst hajmi 40 960 tokenni tashkil etadi. Kirishning eng katta uzunligi — 16 384 token, chiqishniki — 8192; mulohaza yuritish rejimi uchun ham shu kirish va chiqish chegaralari ko‘rsatilgan, mulohaza zanjiri uchun esa alohida 1024 tokenlik chegara mavjud.\n\nOqimli ovoz uchun 16 bitli, bir kanalli PCM ko‘zda tutilgan: kirishda — 16 kHz, chiqishda — 24 kHz. Matn va audio ma’lumotlari bir suhbatga tegishli. Aynan shu model uchun vizual kirish va tasvir chiqarish e’lon qilinmagan; uning ixtisosligi — nutq, matn va ovozli muloqot.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "90a5f1e9ed8397c77702b573e382670c036021b5593ddeb38604f036af22d272", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "qwen-audio-3.0-realtime-plusNutq va matnni qabul qilib, ovoz yoki matn bilan javob beruvchi jonli ovozli muloqot modeli. Tabiiy suhbat sur’ati va vositalar bilan ishlash uchun mo‘ljallangan.
Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.
Qwen-Audio-3.0-Realtime-Plus — Alibaba’ning jonli ovozli muloqot modeli. U nutq va matnni qabul qiladi, audio va matn bilan javob beradi hamda tabiiy navbat almashishga ega ikki tomonlama suhbatni qo‘llab-quvvatlaydi. Ovozni qismlarga bo‘lib yuborish va olish mumkin, shu sababli o‘zaro muloqot suhbat davomida rivojlanadi.
Replika chegarasini aniqlashning bir necha usuli mavjud: ovoz faolligi, mazmunning tugallanganligi va aniq boshqaruv orqali. Ishlab chiqaruvchida rejim birinchi audio yuborilishidan oldin tanlanadi; suhbat boshlanganidan keyin uni o‘zgartirish uchun yangi ulanish kerak. Bunday boshqaruvning qo‘llab-quvvatlanishi tanlangan metodga bog‘liq. Mazmunga asoslangan rejim pauzalar va nutqdagi to‘ldiruvchi so‘zlarni hisobga oladi: qisqa ikkilanish foydalanuvchi fikrini tugatganini har doim ham anglatmaydi. Foydalanuvchining yangi nutqi shakllanayotgan javobni to‘xtatishi mumkin, shunda suhbat keyingi replika hisobga olingan holda davom etadi. Mazmunga asoslangan rejimda nutqni tanishni tanlangan suhbatdoshning ovoz namunasiga yo‘naltirish mumkin; bu boshqa ovozlar va fon shovqiniga kamroq chalg‘ishga yordam beradi.
Ko‘rsatmalar yordamchining roli va muloqot uslubini belgilaydi. Ovozli ifoda ohang, sur’at va hissiyotni hisobga olishi mumkin; 3.0 versiyasi uchun beshta tizim ovozi va nutq namunasidan yaratilgan ovozlar ko‘zda tutilgan. Model 11 ta tilni, jumladan, rus tilini, shuningdek, ishlab chiqaruvchi ko‘rsatgan xitoy lahja variantlarini qo‘llab-quvvatlaydi. Ishlab chiqaruvchida ovoz sessiya sozlamalari birinchi marta yangilanganda belgilanadi; keyin shu suhbatda yuborilgan yangi ovoz e’tiborga olinmaydi. Bu sozlamalar tanlangan murojaat usuli tomonidan qo‘llab-quvvatlanishi kerak.
Funksiya chaqirish qo‘llab-quvvatlanadi. Model kerakli amalni shakllantiradi, ulangan ilova uni bajaradi va natijani suhbatga qaytaradi. Bu suhbatni haqiqiy ma’lumotlarga tayangan holda qurish va bajarilgan amaldan keyin davom ettirish imkonini beradi. Ovozli yordamchi suhbat kontekstini saqlagan holda vositalar natijalariga tayanishi mumkin. Ishlab chiqaruvchi imkoniyatlariga ichki veb-qidiruv ham kiradi, agar tanlangan metod uni taqdim etsa. Veb-qidiruv va funksiya chaqirishni bitta sessiyada bir vaqtda yoqib bo‘lmaydi.
Standart holatda tarix 20 ta suhbat navbatini saqlaydi, birdan 50 tagacha oraliq ko‘zda tutilgan. To‘plangan audio uchun 300 soniyalik chegara belgilangan; cheklovlar oshirilganda tarixning eski qismlari o‘chiriladi. Bu alohida replika davomiyligidan farq qiladi: tarix suhbat davom ettirilganda oldingi materialning qaysi qismi mavjud bo‘lib qolishini belgilaydi.
Rasmiy kontekst hajmi 40 960 tokenni tashkil etadi. Kirishning eng katta uzunligi — 16 384 token, chiqishniki — 8192; mulohaza yuritish rejimi uchun ham shu kirish va chiqish chegaralari ko‘rsatilgan, mulohaza zanjiri uchun esa alohida 1024 tokenlik chegara mavjud.
Oqimli ovoz uchun 16 bitli, bir kanalli PCM ko‘zda tutilgan: kirishda — 16 kHz, chiqishda — 24 kHz. Matn va audio ma’lumotlari bir suhbatga tegishli. Aynan shu model uchun vizual kirish va tasvir chiqarish e’lon qilinmagan; uning ixtisosligi — nutq, matn va ovozli muloqot.
GET /v1/realtime?model=qwen-audio-3.0-realtime-plustext, audiotext, audio| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
|---|---|---|---|---|
Maydonquery.model | Turstring | TalabMajburiy | Qiymatlar va cheklovlar qwen-audio-3.0-realtime-plus | Standart— |
Maydonsession.input_audio_format | Turstring | TalabIxtiyoriy | Qiymatlar va cheklovlar pcm16, pcm | Standart— |
Maydonsession.output_audio_format | Turstring | TalabIxtiyoriy | Qiymatlar va cheklovlar pcm16, pcm | Standart— |
Maydonsession.instructions | Turstring | TalabIxtiyoriy | Qiymatlar va cheklovlar Cheklov qo‘llanadigan obyekt: tanlangan sessiya siyosati | Standart— |
Maydonsession.max_history_turns | Turinteger | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Cheklov qo‘llanadigan obyekt: tanlangan sessiya siyosati | Standart— |
Maydoninput_audio_buffer.append.audio | Turbase64_string | TalabMajburiy | Qiymatlar va cheklovlar Kirish kontenti: PCM16 mono; kirish 16 kHz, chiqish 24 kHz; baytlar soni noldan katta va juft bo‘lishi kerak | Standart— |
realtime_text_audio
| Parametr | Parametr talablari |
|---|---|
Parametrmaterial_types | Parametr talablaritext, audio |
Parametrrequired | Parametr talablarinull |
Parametroptional_controls | Parametr talablarinull |
Parametrcontent_type | Parametr talablariWebSocket |
Hayot sikli: exact retained published method
Metod tuzilishlari va IDlari aniq; yetkazib beruvchining imkoniyati so‘rovni qabul qilishga ruxsatdan alohida.
GET /v1/realtime?model=qwen-audio-3.0-realtime-plusAiloot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. Summani band qilish va to‘lovni hisoblash tartibi →
# Install the documented client once: python3 -m pip install websockets\nimport base64, json, os, time, wave\nfrom pathlib import Path\nfrom websockets.sync.client import connect\n\nkey = os.environ.get("AILOOT_API_KEY", "")\nif not key.strip():\n raise SystemExit("Set your AILOOT_API_KEY before connecting")\nfile = Path(os.environ.get("AILOOT_TEXT_FILE", ""))\nif not file.is_file(): raise SystemExit("Set AILOOT_TEXT_FILE to your actual UTF-8 material")\nmaterial = file.read_text(encoding="utf-8")\nif not material.strip(): raise SystemExit("Text material must not be empty")\nout = Path("realtime-results")\nout.mkdir(exist_ok=True)\naudio, texts, complete = {}, {}, []\ncurrent_response = None\npending = False\ndeadline = time.monotonic() + 570 # Local client bound; lower server/session limits still apply.\n\ndef receive(ws, log):\n global current_response, pending\n left = deadline - time.monotonic()\n if left <= 0:\n raise TimeoutError("Client session limit; preserve IDs and partial results, do not replay")\n event = json.loads(ws.recv(timeout=min(60, left)))\n log.write(json.dumps(event, ensure_ascii=False) + "\\n")\n log.flush()\n kind = event.get("type")\n if kind == "error":\n raise RuntimeError(json.dumps(event, ensure_ascii=False))\n if kind == "response.created":\n current_response = event["response"]["id"]\n if kind in {"response.audio.delta", "response.output_audio.delta", "response.text.delta", "response.output_text.delta", "response.audio_transcript.delta", "response.output_audio_transcript.delta", "response.text.done", "response.audio_transcript.done"}:\n identity = (event["response_id"], event["item_id"], event["output_index"], event["content_index"])\n if kind in {"response.audio.delta", "response.output_audio.delta"}:\n raw = base64.b64decode(event["delta"], validate=True)\n if len(raw) % 2: raise ValueError("Output PCM16 chunk must have an even byte length")\n audio.setdefault(identity, bytearray()).extend(raw)\n elif kind.endswith(".done"):\n texts[identity] = event.get("text", event.get("transcript", ""))\n else:\n texts[identity] = texts.get(identity, "") + event["delta"]\n print(event["delta"], end="", flush=True)\n if kind == "response.done":\n response = event["response"]\n complete.append(response)\n if current_response is None: current_response = response["id"]\n if response["id"] == current_response: pending = False\n return event\n\ndef wait_for(ws, log, kind):\n while True:\n event = receive(ws, log)\n if event.get("type") == kind: return event\n\ndef send(ws, event):\n ws.send(json.dumps(event, ensure_ascii=False))\n\ntry:\n # One exact model query; no reconnect/retry loop and no provider credentials.\n with connect("wss://api.ailoot.ai/v1/realtime?model=qwen-audio-3.0-realtime-plus", additional_headers={"Authorization": "Bearer " + key}) as ws:\n with (out / "events.jsonl").open("w", encoding="utf-8") as log:\n wait_for(ws, log, "session.created")\n send(ws, {"type":"session.update", "session":{"modalities":["audio","text"], "input_audio_format":"pcm", "output_audio_format":"pcm", "turn_detection":None}})\n wait_for(ws, log, "session.updated")\n send(ws, {"type":"conversation.item.create", "item":{"type":"message", "role":"user", "content":[{"type":"input_text", "text":material}]}})\n send(ws, {"type":"response.create"})\n pending = True\n try:\n while pending: receive(ws, log)\n except KeyboardInterrupt:\n # Cancel the actual current inference, then preserve its returned status.\n send(ws, {"type":"response.cancel"})\n while pending: receive(ws, log)\n if not complete or complete[-1].get("status") != "completed":\n raise RuntimeError("Response did not complete normally; inspect saved events and status")\nfinally:\n manifest = {"responses":complete, "parts":[]}\n for number, identity in enumerate(dict.fromkeys(list(audio) + list(texts))):\n record = {"response_id":identity[0], "item_id":identity[1], "output_index":identity[2], "content_index":identity[3]}\n if identity in audio:\n raw = bytes(audio[identity])\n pcm_file = out / ("audio-" + str(number) + ".pcm")\n wav_file = out / ("audio-" + str(number) + ".wav")\n pcm_file.write_bytes(raw)\n with wave.open(str(wav_file), "wb") as wav:\n wav.setnchannels(1); wav.setsampwidth(2); wav.setframerate(24000); wav.writeframes(raw)\n record.update({"pcm":str(pcm_file), "wav":str(wav_file), "sample_rate_hz":24000})\n if identity in texts:\n text_file = out / ("text-" + str(number) + ".txt")\n text_file.write_text(texts[identity], encoding="utf-8")\n record["text"] = str(text_file)\n manifest["parts"].append(record)\n (out / "results.json").write_text(json.dumps(manifest, ensure_ascii=False, indent=2), encoding="utf-8")\n print("\\nSaved every received event and result in", out)\n# Install the documented client once: python3 -m pip install websockets\nimport base64, json, os, time, wave\nfrom pathlib import Path\nfrom websockets.sync.client import connect\n\nkey = os.environ.get("AILOOT_API_KEY", "")\nif not key.strip():\n raise SystemExit("Set your AILOOT_API_KEY before connecting")\nfile = Path(os.environ.get("AILOOT_AUDIO_FILE", ""))\nif not file.is_file(): raise SystemExit("Set AILOOT_AUDIO_FILE to your raw PCM16 mono 16-kHz recording")\nmaterial = file.read_bytes()\nif not material or len(material) % 2 or material.startswith(b"RIFF"):\n raise SystemExit("Use nonempty signed little-endian PCM16 mono 16-kHz bytes, not a WAV header")\nout = Path("realtime-results")\nout.mkdir(exist_ok=True)\naudio, texts, complete = {}, {}, []\ncurrent_response = None\npending = False\ndeadline = time.monotonic() + 570 # Local client bound; lower server/session limits still apply.\n\ndef receive(ws, log):\n global current_response, pending\n left = deadline - time.monotonic()\n if left <= 0:\n raise TimeoutError("Client session limit; preserve IDs and partial results, do not replay")\n event = json.loads(ws.recv(timeout=min(60, left)))\n log.write(json.dumps(event, ensure_ascii=False) + "\\n")\n log.flush()\n kind = event.get("type")\n if kind == "error":\n raise RuntimeError(json.dumps(event, ensure_ascii=False))\n if kind == "response.created":\n current_response = event["response"]["id"]\n if kind in {"response.audio.delta", "response.output_audio.delta", "response.text.delta", "response.output_text.delta", "response.audio_transcript.delta", "response.output_audio_transcript.delta", "response.text.done", "response.audio_transcript.done"}:\n identity = (event["response_id"], event["item_id"], event["output_index"], event["content_index"])\n if kind in {"response.audio.delta", "response.output_audio.delta"}:\n raw = base64.b64decode(event["delta"], validate=True)\n if len(raw) % 2: raise ValueError("Output PCM16 chunk must have an even byte length")\n audio.setdefault(identity, bytearray()).extend(raw)\n elif kind.endswith(".done"):\n texts[identity] = event.get("text", event.get("transcript", ""))\n else:\n texts[identity] = texts.get(identity, "") + event["delta"]\n print(event["delta"], end="", flush=True)\n if kind == "response.done":\n response = event["response"]\n complete.append(response)\n if current_response is None: current_response = response["id"]\n if response["id"] == current_response: pending = False\n return event\n\ndef wait_for(ws, log, kind):\n while True:\n event = receive(ws, log)\n if event.get("type") == kind: return event\n\ndef send(ws, event):\n ws.send(json.dumps(event, ensure_ascii=False))\n\ntry:\n # One exact model query; no reconnect/retry loop and no provider credentials.\n with connect("wss://api.ailoot.ai/v1/realtime?model=qwen-audio-3.0-realtime-plus", additional_headers={"Authorization": "Bearer " + key}) as ws:\n with (out / "events.jsonl").open("w", encoding="utf-8") as log:\n wait_for(ws, log, "session.created")\n send(ws, {"type":"session.update", "session":{"modalities":["audio","text"], "input_audio_format":"pcm", "output_audio_format":"pcm", "turn_detection":None}})\n wait_for(ws, log, "session.updated")\n for offset in range(0, len(material), 640):\n send(ws, {"type":"input_audio_buffer.append", "audio":base64.b64encode(material[offset:offset+640]).decode("ascii")})\n time.sleep(0.02)\n send(ws, {"type":"input_audio_buffer.commit"})\n wait_for(ws, log, "input_audio_buffer.committed")\n send(ws, {"type":"response.create"})\n pending = True\n try:\n while pending: receive(ws, log)\n except KeyboardInterrupt:\n # Cancel the actual current inference, then preserve its returned status.\n send(ws, {"type":"response.cancel"})\n while pending: receive(ws, log)\n if not complete or complete[-1].get("status") != "completed":\n raise RuntimeError("Response did not complete normally; inspect saved events and status")\nfinally:\n manifest = {"responses":complete, "parts":[]}\n for number, identity in enumerate(dict.fromkeys(list(audio) + list(texts))):\n record = {"response_id":identity[0], "item_id":identity[1], "output_index":identity[2], "content_index":identity[3]}\n if identity in audio:\n raw = bytes(audio[identity])\n pcm_file = out / ("audio-" + str(number) + ".pcm")\n wav_file = out / ("audio-" + str(number) + ".wav")\n pcm_file.write_bytes(raw)\n with wave.open(str(wav_file), "wb") as wav:\n wav.setnchannels(1); wav.setsampwidth(2); wav.setframerate(24000); wav.writeframes(raw)\n record.update({"pcm":str(pcm_file), "wav":str(wav_file), "sample_rate_hz":24000})\n if identity in texts:\n text_file = out / ("text-" + str(number) + ".txt")\n text_file.write_text(texts[identity], encoding="utf-8")\n record["text"] = str(text_file)\n manifest["parts"].append(record)\n (out / "results.json").write_text(json.dumps(manifest, ensure_ascii=False, indent=2), encoding="utf-8")\n print("\\nSaved every received event and result in", out)\nsessiya voqealari
Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.
Har bir haqiqiy javob ID si uchun qaytarilgan barcha audio deltalarni va matn/voqea natijalarini yig‘ing.
Haqiqiy sessiya/javob/voqea ID larini va tasdiqlovchi qaydlarni saqlang.
| Javob | Shart | Keyingi qadam |
|---|---|---|
Javob426 · invalid_request_error | ShartWebSocket ga protokolni almashtirish yo‘q | Keyingi qadamUpgrade: websocket bilan WebSocket mijozidan foydalaning. |
Ailoot qwen-audio-3.0-realtime-plus
Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.