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-rw-r--r--app/converter/clients/__init__.py68
-rw-r--r--app/converter/clients/audiocpp.py716
-rw-r--r--app/converter/clients/base.py155
-rw-r--r--app/converter/clients/faster.py123
-rw-r--r--app/converter/clients/languages.py74
-rw-r--r--app/converter/clients/qwen.py322
-rw-r--r--app/converter/clients/speakers.py57
-rw-r--r--app/converter/clients/transcribe.py54
8 files changed, 1569 insertions, 0 deletions
diff --git a/app/converter/clients/__init__.py b/app/converter/clients/__init__.py
new file mode 100644
index 0000000..e216011
--- /dev/null
+++ b/app/converter/clients/__init__.py
@@ -0,0 +1,68 @@
+"""TTS client implementations — one module per backend server.
+
+Public API: the three client classes (QwenTTSClient, FasterTTSClient,
+AudioCppTTSClient), the backend/voice-mode vocabulary, and the shared
+helpers (normalize_language, speaker tables, whisper transcription) that
+the UIs and setup wizards build on.
+"""
+
+# The TTS backends a conversion can use, in Convert-form order. Each has a
+# client module here; the backends package mirrors these keys for its
+# install/setup wizards.
+BACKEND_QWEN = "qwen"
+BACKEND_FASTER = "faster"
+BACKEND_AUDIOCPP = "audiocpp"
+BACKENDS = (BACKEND_AUDIOCPP, BACKEND_QWEN, BACKEND_FASTER)
+
+from .base import BaseTTSClient, ConversionCancelled, VOICE_MODE_CLONE, \
+ VOICE_MODE_CUSTOM, VOICE_MODES, resolve_request_seed
+from .languages import LANGUAGE_ISO_CODES, TTS_LANGUAGES, \
+ TTS_LANGUAGE_ALIASES, normalize_language
+from .speakers import QWEN3_TTS_SPEAKERS, SPEAKER_DISPLAY_NAMES, \
+ is_builtin_speaker, speaker_display_name, speaker_display_name_for
+from .transcribe import transcribe_reference_audio, whisper_backend_available
+from .qwen import CUSTOM_VOICE_MODEL_ID, MODEL_SIZE, QwenTTSClient
+from .faster import SAMPLE_RATE, FasterTTSClient
+from .audiocpp import (
+ AUDIOCPP_DEFAULT_FAMILY_PROFILE,
+ AUDIOCPP_FAMILY_PROFILES,
+ AUDIOCPP_FAMILY_QWEN3_TTS,
+ AUDIOCPP_LANG_DISPLAY,
+ AUDIOCPP_LANG_ISO,
+ AUDIOCPP_LANG_OMIT,
+ AUDIOCPP_SYNTHESIS_TASKS,
+ AUDIOCPP_TASK_TTS,
+ AUDIOCPP_TASK_VDES,
+ AUDIOCPP_VOICE_CLONE,
+ AUDIOCPP_VOICE_DESIGN,
+ AUDIOCPP_VOICE_SPEAKER,
+ AudioCppFamilyProfile,
+ AudioCppTTSClient,
+ audiocpp_entry_voice_capability,
+)
+
+__all__ = [
+ # vocabulary
+ "BACKEND_QWEN", "BACKEND_FASTER", "BACKEND_AUDIOCPP", "BACKENDS",
+ "VOICE_MODE_CUSTOM", "VOICE_MODE_CLONE", "VOICE_MODES",
+ # clients
+ "BaseTTSClient", "ConversionCancelled", "resolve_request_seed",
+ "QwenTTSClient", "FasterTTSClient", "AudioCppTTSClient",
+ # model facts
+ "MODEL_SIZE", "CUSTOM_VOICE_MODEL_ID", "SAMPLE_RATE",
+ # languages
+ "TTS_LANGUAGES", "TTS_LANGUAGE_ALIASES", "LANGUAGE_ISO_CODES",
+ "normalize_language",
+ # speakers
+ "QWEN3_TTS_SPEAKERS", "SPEAKER_DISPLAY_NAMES",
+ "speaker_display_name", "speaker_display_name_for", "is_builtin_speaker",
+ # transcription
+ "transcribe_reference_audio", "whisper_backend_available",
+ # audio.cpp family profiles
+ "AUDIOCPP_LANG_DISPLAY", "AUDIOCPP_LANG_ISO", "AUDIOCPP_LANG_OMIT",
+ "AUDIOCPP_FAMILY_QWEN3_TTS", "AUDIOCPP_TASK_TTS", "AUDIOCPP_TASK_VDES",
+ "AUDIOCPP_SYNTHESIS_TASKS", "AUDIOCPP_VOICE_SPEAKER",
+ "AUDIOCPP_VOICE_CLONE", "AUDIOCPP_VOICE_DESIGN",
+ "AudioCppFamilyProfile", "AUDIOCPP_DEFAULT_FAMILY_PROFILE",
+ "AUDIOCPP_FAMILY_PROFILES", "audiocpp_entry_voice_capability",
+]
diff --git a/app/converter/clients/audiocpp.py b/app/converter/clients/audiocpp.py
new file mode 100644
index 0000000..4a161cb
--- /dev/null
+++ b/app/converter/clients/audiocpp.py
@@ -0,0 +1,716 @@
+"""Client for the audio.cpp audiocpp_server (native ggml TTS families)."""
+
+import json
+import logging
+import shutil
+import tempfile
+import urllib.error
+import urllib.parse
+import urllib.request
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+
+from .. import config
+from ..audio import concat_audio_files
+from ..chunking import split_into_chunks
+from .base import BaseTTSClient, ConversionCancelled, resolve_request_seed
+from .languages import LANGUAGE_ISO_CODES, normalize_language
+from .speakers import (is_builtin_speaker, speaker_display_name,
+ speaker_display_name_for)
+
+logger = logging.getLogger(__name__)
+
+# How the "language" request field is expressed by a family.
+AUDIOCPP_LANG_DISPLAY = "display" # Qwen display names, e.g. "English"
+AUDIOCPP_LANG_ISO = "iso" # ISO 639-1 codes, e.g. "en"
+AUDIOCPP_LANG_OMIT = "omit" # no language field; the model detects it
+
+# The Qwen3-TTS family. Unlike every other family (one model type each),
+# qwen3_tts hosts several model *types* under one family id, distinguished
+# only by the server entry's id/task: the CustomVoice model (built-in
+# speakers, e.g. Vivian/Ryan), the Base model (voice cloning via a
+# server-side preset), and the VoiceDesign model (task "vdes"). The
+# per-entry voice capability below (audiocpp_entry_voice_capability)
+# resolves which is which, driving both the Convert form (which voice
+# list to show) and the converter's mode selection.
+AUDIOCPP_FAMILY_QWEN3_TTS = "qwen3_tts"
+
+# Server model entry tasks this client can synthesize audiobooks with,
+# taken from GET /v1/models (the "task" field of each entry; a missing task
+# is treated as "tts" — a harmless generic default). "vdes" entries are
+# voice design models: the voice is described with --instructions instead
+# of coming from a speaker or a reference clip. Entries with any other task
+# (asr, vc, diar, ...) are rejected at connect time with a hint to pick a
+# synthesis entry.
+AUDIOCPP_TASK_TTS = "tts"
+AUDIOCPP_TASK_VDES = "vdes"
+AUDIOCPP_SYNTHESIS_TASKS = (AUDIOCPP_TASK_TTS, "clon", AUDIOCPP_TASK_VDES)
+
+# The voice capability of a server model entry — how its voice is supplied.
+# Resolved per entry from (family, task, id) by
+# audiocpp_entry_voice_capability; drives both the Convert form (which
+# voice list to show) and the converter (speaker vs preset vs design mode).
+# Most families are clone-only; only the Qwen3-TTS CustomVoice entry has
+# built-in speakers, and only VoiceDesign entries take a description.
+AUDIOCPP_VOICE_SPEAKER = "speaker" # built-in speaker name (Qwen CustomVoice)
+AUDIOCPP_VOICE_CLONE = "clone" # server-side preset / voice_dir (Base, others)
+AUDIOCPP_VOICE_DESIGN = "design" # voice described by --instructions (vdes)
+
+
+class AudioCppFamilyProfile:
+ """Request conventions of one audio.cpp model family.
+
+ Language style and whether the family reads a style/instruction prompt;
+ these are family-level (every entry of a family shares them). Whether a
+ *specific entry* has built-in speakers is an entry-level concern, decided
+ by audiocpp_entry_voice_capability, not this profile.
+ """
+
+ def __init__(self, language_style: str = AUDIOCPP_LANG_OMIT,
+ sends_instructions: bool = False):
+ self.language_style = language_style
+ self.sends_instructions = sends_instructions
+
+
+# Generic profile for families not listed in AUDIOCPP_FAMILY_PROFILES:
+# clone-only, no style instructions, and no language field (the model
+# detects the language itself). Describes higgs_audio_tts, voxcpm2,
+# fish_audio, dots_tts, dramabox, omnivoice, outetts, glm_tts, miotts,
+# moss_tts_*, pocket_tts, vibevoice, ... as well as families added to
+# audio.cpp after this table was written.
+AUDIOCPP_DEFAULT_FAMILY_PROFILE = AudioCppFamilyProfile()
+
+AUDIOCPP_FAMILY_PROFILES = {
+ AUDIOCPP_FAMILY_QWEN3_TTS: AudioCppFamilyProfile(
+ language_style=AUDIOCPP_LANG_DISPLAY,
+ sends_instructions=True,
+ ),
+ # Families whose language option takes a code (e.g. "en") instead of
+ # a Qwen display name; otherwise clone-only like the default profile.
+ "chatterbox": AudioCppFamilyProfile(language_style=AUDIOCPP_LANG_ISO),
+ "confucius4_tts": AudioCppFamilyProfile(language_style=AUDIOCPP_LANG_ISO),
+ "index_tts2": AudioCppFamilyProfile(language_style=AUDIOCPP_LANG_ISO),
+ "magpie_tts": AudioCppFamilyProfile(language_style=AUDIOCPP_LANG_ISO),
+ "supertonic": AudioCppFamilyProfile(language_style=AUDIOCPP_LANG_ISO),
+}
+
+
+def audiocpp_entry_voice_capability(family: str, task: str,
+ model_id: str) -> str:
+ """How a server model entry's voice is supplied — speaker/clone/design.
+
+ Resolved from the entry's family, task and id — the same {id, family,
+ task} triple GET /v1/models reports, so it works for local server.json
+ entries and remote live-queried entries alike. Qwen3-TTS is the one
+ family hosting several model *types* under one family id: the
+ CustomVoice model (id contains "customvoice") has built-in speakers, the
+ Base model and any other entry are clone-only, and VoiceDesign entries
+ (task "vdes") take a description. Every other family is clone-only.
+ """
+ if task == AUDIOCPP_TASK_VDES:
+ return AUDIOCPP_VOICE_DESIGN
+ if family == AUDIOCPP_FAMILY_QWEN3_TTS \
+ and "customvoice" in (model_id or "").lower():
+ return AUDIOCPP_VOICE_SPEAKER
+ return AUDIOCPP_VOICE_CLONE
+
+
+class AudioCppTTSClient(BaseTTSClient):
+ """Generates audio chunks through an audio.cpp audiocpp_server.
+
+ Talks to the OpenAI-style HTTP API of audiocpp_server, which hosts TTS
+ model families through a native ggml runtime (GGUF weights, no Python
+ serving stack). The server API is family-agnostic; the family and task
+ of the configured model entry are read from GET /v1/models at startup
+ and adapt the request payload (language field style, style instructions)
+ through AUDIOCPP_FAMILY_PROFILES. The entry's voice capability
+ (audiocpp_entry_voice_capability: speaker / clone / design) decides how
+ its voice is supplied; all three are resolved server-side from the
+ request's "voice"/"instructions" fields:
+
+ - Speaker mode (--voice with a built-in speaker name, or no flag on a
+ CustomVoice entry): Qwen3-TTS CustomVoice only. A built-in speaker
+ name (e.g. "Vivian") is passed through, plus the INSTRUCT style
+ prompt. The selected entry must be the CustomVoice model (capability
+ == speaker); a speaker name on a non-speaker entry is treated as a
+ server-side preset instead.
+ - Preset mode (--voice NAME): a voice configured on the server
+ (``voice_presets`` or ``voice_dir`` in its config, e.g. a cloning
+ reference). The name is validated against GET /v1/audio/voices at
+ startup because an unresolvable name would silently fall back to
+ plain TTS on a clone-based model instead of failing. When
+ AUDIOCPP_CLONE_MODEL_ID names a second server entry of the same
+ family (typically the Qwen Base model), preset requests are routed
+ to it. Selecting a non-speaker --voice on a CustomVoice primary with
+ a clone id configured is the documented way to switch a speaker setup
+ to cloning; without a clone id the voice is validated against the
+ server's voice library.
+ - Voice design (task "vdes" entries, e.g. Qwen3-TTS VoiceDesign): the
+ voice is described in natural language through ``instructions``,
+ which is required and sent with every request (no ``voice`` field).
+ A constant per-run seed keeps the designed voice consistent across
+ chunk boundaries.
+
+ The entry's capability decides how an explicit --voice is read: on a
+ speaker-capable entry a name that matches a built-in speaker selects
+ speaker mode, and every other name is a server-side preset. With no
+ --voice the entry's capability picks the mode: design entries require
+ --instructions; speaker entries use the built-in CustomVoice speaker
+ in config.SPEAKER; clone entries (the Base model, and every other
+ family) fail fast with a hint to pass --voice, instead of silently
+ synthesizing with a random default voice.
+
+ ``instructions`` also works on non-design entries, where it acts as a
+ generic style/delivery instruction (voice control): families that read
+ it (OmniVoice, Qwen3-TTS CustomVoice, ...) shape the voice or delivery
+ accordingly, and others ignore it. On instruction-conditioned families
+ without built-in speakers it may replace --voice entirely (the
+ instruction defines the voice). Extra request options (``--option
+ KEY=VALUE``, e.g. emotion, voice_id, speed) are forwarded verbatim in
+ the request's "options" object, which is the server's generic
+ pass-through for per-model controls.
+
+ Chunking: text is split client-side into sub-requests of at most
+ config.CHUNK_SIZE words each; each sub-request returns a complete
+ WAV file and the parts are concatenated with the same lossless path
+ used for the Qwen client.
+ """
+
+ def __init__(self, chunks_dir: Path,
+ voice: Optional[str] = None, language: Optional[str] = None,
+ api_url: Optional[str] = None,
+ model_id: Optional[str] = None,
+ instructions: Optional[str] = None,
+ request_options: Optional[Dict[str, str]] = None,
+ quiet: bool = False):
+ super().__init__(chunks_dir, quiet=quiet)
+ self.api_url = (api_url or config.AUDIOCPP_API_URL).rstrip("/")
+ # Per-run model selection: the --model CLI flag overrides config; an
+ # empty value is resolved at connect time when the server hosts exactly
+ # one entry, so multi-model servers don't require editing config.py.
+ self.model_id = (model_id if model_id is not None
+ else config.AUDIOCPP_MODEL_ID) or ""
+ self._model_id_explicit = bool(self.model_id)
+ # Validate before connecting so bad values fail fast without a server.
+ self.language = normalize_language(
+ language if language is not None else config.LANGUAGE)
+ # One seed value per run, reused for every request (see
+ # resolve_request_seed). Unlike the Qwen demo, audio.cpp has no
+ # negative "randomize" seed, so a negative value means "send no seed
+ # at all" (see _request_wav) and the server randomizes.
+ self._seed = resolve_request_seed()
+ # Voice selection (the --voice name). preset_mode / speaker_mode are
+ # resolved in _connect: a --voice that names a built-in CustomVoice
+ # speaker on a speaker-capable entry selects speaker mode; every
+ # other name (and any name on a clone-capable entry) is a server-side
+ # preset. preset_mode gates _select_model's reroute to
+ # AUDIOCPP_CLONE_MODEL_ID and the INSTRUCT style-prompt logic. The
+ # request's "voice" field (self.voice) is filled in _connect per the
+ # mode.
+ self.preset_mode = False
+ self.speaker_mode = False
+ self.voice = voice or None
+ # Style/voice-design instruction sent with every request (the CLI
+ # --instructions flag overrides AUDIOCPP_INSTRUCTIONS in config.py).
+ # For task "vdes" entries it describes the voice to design; for other
+ # families it is a generic style instruction when the model reads one.
+ self.instructions = (instructions if instructions is not None
+ else config.AUDIOCPP_INSTRUCTIONS or "").strip()
+ # Free-form per-request options (--option KEY=VALUE) forwarded in the
+ # request's "options" object; models ignore keys they don't know.
+ self.request_options: Dict[str, str] = dict(request_options or {})
+ # Set during _connect: design_mode for "vdes" entries, instruction_voice
+ # when a family without built-in speakers gets its voice from the
+ # instruction alone (no voice field). self.voice is also finalized
+ # there (the speaker/preset name, or config.SPEAKER for the default).
+ self.design_mode = False
+ self.instruction_voice = False
+ # Family and task of the selected model entry and the family's request
+ # profile; all are resolved from GET /v1/models during _connect.
+ self.family = ""
+ self.task = AUDIOCPP_TASK_TTS
+ self.profile = AUDIOCPP_DEFAULT_FAMILY_PROFILE
+ self._connect()
+
+ # ------------------------------------------------------------------
+ # Connection
+ # ------------------------------------------------------------------
+
+ def _connected(self, mode: str) -> None:
+ """Report the resolved connection (MODE: speaker/voice/... label)."""
+ self._report(f"[OK] Connected to audio.cpp server at {self.api_url} "
+ f"(model '{self.model_id}', family '{self.family}', "
+ f"{mode})")
+
+ def _connect(self) -> None:
+ """Health-check the server and resolve the model, family, task, and voice.
+
+ The entry's voice capability (audiocpp_entry_voice_capability, from
+ family/task/id) plus the caller's --voice/--instructions pick the
+ mode. An explicit --voice on a speaker-capable (CustomVoice) entry
+ that names a built-in speaker selects speaker mode; every other
+ --voice is a server-side preset, validated against the server's
+ voice library (and rerouted to AUDIOCPP_CLONE_MODEL_ID when set).
+ With no --voice, design entries require --instructions, speaker-
+ capable entries use the built-in config.SPEAKER, and clone entries
+ fail fast with a hint instead of silently synthesizing with a
+ random default voice.
+ """
+ self._check_health()
+ models = self._list_models()
+ self._auto_pick_model_id(models)
+ if self.voice is not None:
+ # Explicit --voice: decide between speaker mode and a server-side
+ # preset. A name matching a built-in CustomVoice speaker on a
+ # speaker-capable primary selects speaker mode; every other name
+ # (and any name when the primary entry is absent) is a preset,
+ # validated against the server's voice library and rerouted to
+ # AUDIOCPP_CLONE_MODEL_ID when configured.
+ primary = next((m for m in models if m["id"] == self.model_id),
+ None)
+ if primary is not None:
+ self._resolve_family(models)
+ self._resolve_task(models)
+ capability = audiocpp_entry_voice_capability(
+ self.family, self.task, self.model_id)
+ if capability == AUDIOCPP_VOICE_SPEAKER \
+ and is_builtin_speaker(self.voice):
+ self._require_synthesis_task(models)
+ self.voice = speaker_display_name_for(self.voice)
+ self.speaker_mode = True
+ self._connected(f"speaker '{self.voice}'")
+ if not self.speaker_mode:
+ # Server-side preset (--voice): validate it and route to
+ # the clone model entry when AUDIOCPP_CLONE_MODEL_ID is set.
+ self.preset_mode = True
+ self._select_model(models)
+ self._require_model_id(models)
+ self._resolve_family(models)
+ self._resolve_task(models)
+ self._require_synthesis_task(models)
+ if self.design_mode:
+ raise RuntimeError(
+ f"--voice cannot be used with the voice design model "
+ f"'{self.model_id}': the voice is described by the "
+ "--instructions text instead (see README).")
+ self._check_voice()
+ self._connected(f"voice '{self.voice}'")
+ else:
+ # No flag: the entry's capability picks the default mode.
+ self._require_model_id(models)
+ self._resolve_family(models)
+ self._resolve_task(models)
+ self._require_synthesis_task(models)
+ capability = audiocpp_entry_voice_capability(
+ self.family, self.task, self.model_id)
+ if self.design_mode:
+ if not self.instructions:
+ raise RuntimeError(
+ f"The audio.cpp model '{self.model_id}' (family "
+ f"'{self.family}') is a voice design model: pass a "
+ "description of the voice to synthesize with, e.g. "
+ '--instructions "A warm adult female narrator with a '
+ 'British accent" (see README).')
+ self._connected("voice design")
+ self._report(f"[INFO] Designing the voice from: {self.instructions}")
+ elif capability == AUDIOCPP_VOICE_SPEAKER:
+ # No flag on a CustomVoice entry: the built-in config.SPEAKER.
+ self.voice = speaker_display_name()
+ self.speaker_mode = True
+ self._connected(f"speaker '{self.voice}'")
+ elif self.instructions:
+ # Families without built-in speakers can still get their voice
+ # from the instruction alone (e.g. OmniVoice voice design).
+ self.instruction_voice = True
+ self._connected("instruction voice")
+ self._report(f"[INFO] Designing the voice from: {self.instructions}")
+ else:
+ raise RuntimeError(
+ f"The audio.cpp model '{self.model_id}' (family "
+ f"'{self.family}') has no built-in speakers, so its voice "
+ "must come from the server: rerun with --voice NAME "
+ "matching a voice_preset or voice_dir entry in the server "
+ "config, or describe a voice with --instructions for "
+ "families that support it, or select the CustomVoice entry "
+ "for built-in speakers (see README).")
+ if self.instructions and not self.design_mode and not self.instruction_voice:
+ self._report(f"[INFO] Sending instruction with every request: {self.instructions}")
+ self._report("[INFO] Its effect (style, emotion, delivery) depends on the "
+ "model family; models without instruction support ignore it.")
+ if config.AUDIOCPP_UNLOAD_MODELS:
+ self._unload_server_models()
+
+ def _require_synthesis_task(self, models: List[Dict[str, str]]) -> None:
+ """Reject model entries whose task is not a TTS synthesis task."""
+ if self.task in AUDIOCPP_SYNTHESIS_TASKS:
+ return
+ available = ", ".join(model["id"] for model in models) or "none"
+ raise RuntimeError(
+ f"The audio.cpp model '{self.model_id}' has task "
+ f"'{self.task}'; audiobook.py can only synthesize with TTS "
+ f"model entries (tasks {', '.join(AUDIOCPP_SYNTHESIS_TASKS)}). "
+ f"Pick a synthesis entry with --model (available: {available})."
+ )
+
+ def _unload_server_models(self) -> None:
+ """Ask the server to unload every loaded model before generating.
+
+ Lazy-loaded entries stay resident until the server exits (unless its
+ max_loaded_models setting bounds residency), so switching between
+ configured models across runs can exhaust device memory. Unloading
+ first frees those leftovers; this run's model reloads transparently
+ on its first request. Failures only warn: an older server without
+ the endpoint, or a busy one, must not block a working setup.
+ Controlled by config.AUDIOCPP_UNLOAD_MODELS (the TUI Settings
+ "Unload models" option).
+ """
+ request = urllib.request.Request(
+ f"{self.api_url}/v1/tasks/unload_all_models", data=b"",
+ method="POST", headers={"Content-Type": "application/json"})
+ try:
+ with urllib.request.urlopen(request, timeout=10) as response:
+ payload = json.loads(response.read().decode("utf-8"))
+ except Exception as exc:
+ self._report(f"[WARNING] Could not unload previously loaded models at "
+ f"{self.api_url}: {exc}")
+ return
+ unloaded = [entry for entry in (payload.get("unloaded") or [])
+ if isinstance(entry, str)]
+ if unloaded:
+ self._report(f"[OK] Unloaded {len(unloaded)} model(s) from server memory: "
+ f"{', '.join(unloaded)}")
+ else:
+ logger.debug("No loaded audio.cpp models to unload at %s", self.api_url)
+
+ def _get_json(self, path: str, timeout: int = 10) -> Dict[str, Any]:
+ """GET a JSON document from the server."""
+ url = f"{self.api_url}{path}"
+ try:
+ with urllib.request.urlopen(url, timeout=timeout) as response:
+ return json.loads(response.read().decode("utf-8"))
+ except urllib.error.HTTPError as exc:
+ detail = ""
+ try:
+ detail = exc.read().decode("utf-8", errors="replace")[:200]
+ except Exception:
+ pass
+ raise RuntimeError(
+ f"audio.cpp server returned HTTP {exc.code} for {path}: {detail}") from exc
+ except urllib.error.URLError as exc:
+ raise RuntimeError(f"audio.cpp request failed for {path}: {exc.reason}") from exc
+
+ def _check_health(self) -> None:
+ """Verify the server is reachable and reports healthy."""
+ try:
+ payload = self._get_json("/health")
+ except Exception as exc:
+ raise RuntimeError(
+ f"audio.cpp server not reachable at {self.api_url}: {exc}. "
+ "Start audiocpp_server first (see the 'audio.cpp backend' "
+ "section of the README)."
+ ) from exc
+ if payload.get("status") != "ok":
+ raise RuntimeError(
+ f"The audio.cpp server at {self.api_url} reports status "
+ f"{payload.get('status')!r} instead of 'ok'")
+
+ def _list_models(self) -> List[Dict[str, str]]:
+ """Fetch the (id, family, task) triples reported by the server."""
+ try:
+ payload = self._get_json("/v1/models")
+ except Exception as exc:
+ raise RuntimeError(
+ f"The audio.cpp server at {self.api_url} did not answer "
+ f"/v1/models: {exc}") from exc
+ entries = payload.get("data") or []
+ models: List[Dict[str, str]] = []
+ for entry in entries:
+ if isinstance(entry, dict) and entry.get("id"):
+ models.append({
+ "id": entry["id"],
+ "family": entry.get("family") or "",
+ "task": entry.get("task") or "",
+ })
+ return models
+
+ def _auto_pick_model_id(self, models: List[Dict[str, str]]) -> None:
+ """Resolve an empty model id when the server hosts exactly one entry.
+
+ Multi-model servers generated with several lazily-loaded entries can
+ be used without editing app/converter/config.py: leave AUDIOCPP_MODEL_ID
+ (and ``--model``) unset, and the single hosted entry is chosen
+ automatically. With more than one entry an explicit choice is required
+ (via ``--model`` or AUDIOCPP_MODEL_ID), since guessing would risk
+ synthesizing a whole book with the wrong family.
+ """
+ if self.model_id:
+ return
+ if len(models) == 1:
+ self.model_id = models[0]["id"]
+ logger.info(
+ "AUDIOCPP_MODEL_ID is unset; using the only server entry '%s'",
+ self.model_id)
+ else:
+ logger.debug(
+ "AUDIOCPP_MODEL_ID is unset and the server hosts %d entries; "
+ "an explicit --model or config id is required",
+ len(models))
+
+ def _require_model_id(self, models: List[Dict[str, str]]) -> None:
+ """Verify the model id chosen for this run exists on the server.
+
+ Speaker mode needs AUDIOCPP_MODEL_ID (the CustomVoice entry).
+ Preset mode validates whichever id _select_model resolved, so a
+ server hosting only a cloning model works for --voice. The default
+ error distinguishes the two so the fix is obvious.
+ """
+ model_ids = [model["id"] for model in models]
+ if self.model_id and self.model_id in model_ids:
+ return
+ configured = ", ".join(model_ids) or "none"
+ if not self.model_id:
+ raise RuntimeError(
+ f"The audio.cpp server at {self.api_url} hosts {len(model_ids)} "
+ f"model entries ({configured}); audiobook.py needs to know which "
+ "one to use. Pass --model <id> when converting, or set "
+ "AUDIOCPP_MODEL_ID in app/converter/config.py to one of them "
+ "(see README)."
+ )
+ if self.preset_mode:
+ raise RuntimeError(
+ f"The audio.cpp server at {self.api_url} has no model id "
+ f"'{self.model_id}' or clone model id "
+ f"'{config.AUDIOCPP_CLONE_MODEL_ID}' (configured: {configured}). "
+ "Add a TTS model entry for the family you want to the server "
+ "config and match AUDIOCPP_MODEL_ID / AUDIOCPP_CLONE_MODEL_ID "
+ "in app/converter/config.py to its id, or select it per run with "
+ "--model (see README)."
+ )
+ raise RuntimeError(
+ f"The audio.cpp server at {self.api_url} has no model id "
+ f"'{self.model_id}' (configured: {configured}). Select the "
+ "Qwen3-TTS CustomVoice entry for built-in speakers, or rerun "
+ "with --voice NAME matching a voice_preset or voice_dir entry "
+ "on any TTS model (see README)."
+ )
+
+ def _select_model(self, models: List[Dict[str, str]]) -> None:
+ """Pick the model for preset (cloning) requests.
+
+ Defaults to the primary model id. When AUDIOCPP_CLONE_MODEL_ID is
+ configured and present on the server, preset requests are routed
+ to it instead, so one server can host the CustomVoice model for
+ speaker mode and the Base model for cloning (Qwen3-TTS setups).
+ A clone id that names a model of a different family is ignored
+ with a warning, since preset requests must synthesize with the
+ family the run is configured for.
+ """
+ clone_model_id = config.AUDIOCPP_CLONE_MODEL_ID
+ if not clone_model_id or clone_model_id == self.model_id:
+ return
+ families = {model["id"]: model["family"] for model in models}
+ if clone_model_id not in families:
+ # A qwen3_tts primary without its clone entry silently degrades
+ # (presets are ignored on the CustomVoice model), so that case
+ # keeps the warning; single-model servers of other families are
+ # the normal configuration and only get a debug note.
+ primary_family = families.get(self.model_id) or ""
+ if primary_family == AUDIOCPP_FAMILY_QWEN3_TTS:
+ logger.warning(
+ "AUDIOCPP_CLONE_MODEL_ID %r is not configured on the audio.cpp "
+ "server; preset requests use '%s' instead",
+ clone_model_id, self.model_id)
+ else:
+ logger.debug(
+ "AUDIOCPP_CLONE_MODEL_ID %r is not configured on the audio.cpp "
+ "server; preset requests use '%s' instead",
+ clone_model_id, self.model_id)
+ return
+ primary_family = families.get(self.model_id)
+ clone_family = families[clone_model_id]
+ if primary_family and clone_family and primary_family != clone_family:
+ logger.warning(
+ "AUDIOCPP_CLONE_MODEL_ID %r hosts family %r, but "
+ "AUDIOCPP_MODEL_ID %r hosts %r; preset requests stay on "
+ "'%s'. Point both ids at the same model entry in "
+ "app/converter/config.py (single-model servers use the same id "
+ "for both)",
+ clone_model_id, clone_family, self.model_id, primary_family,
+ self.model_id)
+ return
+ self.model_id = clone_model_id
+
+ def _resolve_family(self, models: List[Dict[str, str]]) -> None:
+ """Resolve the selected model's family and its request profile.
+
+ The family comes from GET /v1/models; a missing family is an unknown
+ family that falls through to the generic (clone-only) profile rather
+ than guessing a specific one — audiocpp_server always reports family
+ for entries its server.json describes.
+ """
+ entry = next(
+ (model for model in models if model["id"] == self.model_id), None)
+ family = (entry["family"] if entry is not None else "") or ""
+ self.family = family
+ self.profile = AUDIOCPP_FAMILY_PROFILES.get(
+ family, AUDIOCPP_DEFAULT_FAMILY_PROFILE)
+ if not family:
+ logger.debug("Model '%s' reported no family; using the generic "
+ "profile", self.model_id)
+ elif family not in AUDIOCPP_FAMILY_PROFILES:
+ logger.info(
+ "audio.cpp family '%s' has no dedicated profile; using the "
+ "generic profile (voice cloning via --voice, model-detected "
+ "language)", family)
+
+ def _resolve_task(self, models: List[Dict[str, str]]) -> None:
+ """Resolve the selected model's task (tts, clon, vdes, ...) and set
+ design mode for voice design entries.
+
+ The task comes from GET /v1/models and is fixed per server entry by
+ its server.json config (a VoiceDesign model must be hosted with
+ "task": "vdes"). Servers that predate the task field hosted plain
+ TTS models, so a missing task is treated as tts.
+ """
+ entry = next(
+ (model for model in models if model["id"] == self.model_id), None)
+ task = (entry["task"] if entry is not None else "") or ""
+ if not task:
+ task = AUDIOCPP_TASK_TTS
+ logger.debug("Model '%s' reported no task; assuming tts",
+ self.model_id)
+ self.task = task
+ self.design_mode = task == AUDIOCPP_TASK_VDES
+
+ def _check_voice(self) -> None:
+ """Verify the requested voice is available on the server.
+
+ A voice name that matches no server preset or voice-library wav
+ would be passed through to the model as a cached voice id; on the
+ Base (cloning) model that is silently ignored and plain TTS audio
+ comes back, so preset names are validated up front. When the
+ voices endpoint cannot be queried, validation is skipped with a
+ warning rather than blocking the run.
+ """
+ query = urllib.parse.urlencode({"model": self.model_id})
+ try:
+ payload = self._get_json(f"/v1/audio/voices?{query}")
+ except Exception as exc:
+ logger.warning("Could not list server voices; skipping voice "
+ "validation: %s", exc)
+ return
+ voices = payload.get("voices") or []
+ if self.voice not in voices:
+ available = ", ".join(str(v) for v in voices) or "none"
+ raise RuntimeError(
+ f"Voice '{self.voice}' is not available on the audio.cpp server "
+ f"(available: {available}). Configure it as a voice_preset or "
+ "voice_dir entry in the server config, or pass a listed name "
+ "with --voice (see README)."
+ )
+
+ # ------------------------------------------------------------------
+ # HTTP requests
+ # ------------------------------------------------------------------
+
+ def _request_wav(self, text: str) -> bytes:
+ """POST one sub-chunk and return the raw WAV bytes."""
+ url = f"{self.api_url}/v1/audio/speech"
+ payload: Dict[str, Any] = {
+ "model": self.model_id,
+ "input": text,
+ }
+ # Design models take no voice field (the voice comes from the
+ # instruction); instruction-voice runs on families without built-in
+ # speakers omit it too, since no speaker or preset was requested.
+ if not self.design_mode and not self.instruction_voice:
+ payload["voice"] = self.voice
+ if self.profile.language_style == AUDIOCPP_LANG_DISPLAY:
+ payload["language"] = self.language
+ elif self.profile.language_style == AUDIOCPP_LANG_ISO:
+ iso_code = LANGUAGE_ISO_CODES.get(self.language)
+ if iso_code:
+ payload["language"] = iso_code
+ else:
+ # "Auto": no code to send, so let the server pick its default.
+ logger.debug("%s: no language code for %r; omitted from request",
+ self.family, self.language)
+ if self._seed >= 0:
+ # audio.cpp has no negative "randomize" seed; a negative seed
+ # means "let the server randomize", so the field is omitted.
+ payload["seed"] = self._seed
+ if self.instructions:
+ # Explicit voice-design or style instruction (required for task
+ # "vdes" entries; a Ctrl/style control on families that read it).
+ payload["instructions"] = self.instructions
+ elif not self.preset_mode and config.INSTRUCT \
+ and self.profile.sends_instructions:
+ # Style instruction for the Qwen3-TTS CustomVoice speakers;
+ # ignored by the Base (cloning) model and other families.
+ payload["instructions"] = config.INSTRUCT
+ if self.request_options:
+ # Generic per-model controls (--option KEY=VALUE): forwarded
+ # verbatim; the model ignores keys it does not know.
+ payload["options"] = dict(self.request_options)
+ request = urllib.request.Request(
+ url, data=json.dumps(payload).encode("utf-8"),
+ headers={"Content-Type": "application/json"}, method="POST")
+ timeout = config.API_TIMEOUT
+ try:
+ with urllib.request.urlopen(request, timeout=timeout) as response:
+ wav = response.read()
+ except urllib.error.HTTPError as exc:
+ detail = ""
+ try:
+ detail = exc.read().decode("utf-8", errors="replace")[:200]
+ except Exception:
+ pass
+ raise RuntimeError(f"audio.cpp server returned HTTP {exc.code}: {detail}") from exc
+ except urllib.error.URLError as exc:
+ raise RuntimeError(f"audio.cpp request failed: {exc.reason}") from exc
+ if len(wav) < 12 or wav[:4] != b"RIFF" or wav[8:12] != b"WAVE":
+ raise RuntimeError("audio.cpp server returned audio that is not a WAV file")
+ return wav
+
+ # ------------------------------------------------------------------
+ # Chunk generation
+ # ------------------------------------------------------------------
+
+ def generate_chunk(self, text: str, chunk_num: int) -> Optional[str]:
+ """Generate one audio chunk; returns its path in the chunks folder.
+
+ The text is split into sub-requests of at most ``config.CHUNK_SIZE``
+ words each; each sub-request returns a complete WAV file and the
+ parts are concatenated into one chunk file.
+ """
+ try:
+ sub_texts = split_into_chunks(text, max_words=config.CHUNK_SIZE)
+ if not sub_texts:
+ raise RuntimeError("No text to synthesize")
+
+ output_path: Optional[Path] = None
+ with tempfile.TemporaryDirectory(prefix="tts_parts_") as parts_dir, \
+ self._chunk_heartbeat(chunk_num):
+ part_paths = []
+ for sub_num, sub_text in enumerate(sub_texts, 1):
+ wav = self._request_wav(sub_text)
+ destination = Path(parts_dir) / f"part_{sub_num:02d}.wav"
+ destination.write_bytes(wav)
+ part_paths.append(destination)
+ if len(part_paths) == 1:
+ output_path = self._chunk_path(chunk_num, ".wav")
+ shutil.copy2(part_paths[0], output_path)
+ else:
+ output_path = self._chunk_path(chunk_num, ".wav")
+ concat_audio_files(part_paths, output_path)
+
+ logger.debug("Chunk %d generated successfully (%d sub-request(s))",
+ chunk_num, len(sub_texts))
+ return str(output_path)
+
+ except ConversionCancelled:
+ raise
+ except Exception as exc:
+ logger.error("audio.cpp chunk processing failed for chunk %d: %s",
+ chunk_num, exc)
+ return None
diff --git a/app/converter/clients/base.py b/app/converter/clients/base.py
new file mode 100644
index 0000000..a0f28cf
--- /dev/null
+++ b/app/converter/clients/base.py
@@ -0,0 +1,155 @@
+"""Shared TTS client plumbing: cancellation, retries, chunk bookkeeping."""
+
+import contextlib
+import logging
+import random
+import threading
+import time
+from pathlib import Path
+from typing import Optional
+
+from .. import config
+
+logger = logging.getLogger(__name__)
+
+
+class ConversionCancelled(Exception):
+ """Raised when the run's cancel event is set (between requests)."""
+
+
+# How a run supplies its voice: a built-in CustomVoice speaker, or by
+# cloning a reference audio clip (the faster and audiocpp backends always
+# clone server-side; only the Qwen client branches on this at request time).
+VOICE_MODE_CUSTOM = "custom_voice"
+VOICE_MODE_CLONE = "voice_clone"
+VOICE_MODES = (VOICE_MODE_CUSTOM, VOICE_MODE_CLONE)
+
+
+def resolve_request_seed() -> int:
+ """Resolve the seed sent with every request.
+
+ Returns config.SEED as-is, or (with CONSTANT_SEED and SEED < 0) one
+ random value drawn per run, meant to be reused for every request so
+ the voice stays consistent across chunk boundaries. Without
+ CONSTANT_SEED, -1 is returned so the server re-samples the voice on
+ every generation.
+ """
+ seed = config.SEED
+ if config.CONSTANT_SEED and seed < 0:
+ seed = random.randrange(2 ** 31)
+ return seed
+
+
+class BaseTTSClient:
+ """Shared chunk retry logic, heartbeat, and chunk file bookkeeping.
+
+ CHUNKS_DIR is the scratch folder the generated chunk files are written
+ to — provided by the converter that owns the run's folders, never a
+ module global, so concurrent runs (and tests) cannot step on each other.
+ """
+
+ # Class-level defaults so a partially-constructed instance behaves like
+ # a plain console run (tests build clients via __new__).
+ cancel = None
+ quiet = False
+
+ def __init__(self, chunks_dir: Path, quiet: bool = False):
+ self.chunks_dir = Path(chunks_dir)
+ # Quiet silences console prints (the run view owns the screen).
+ self.quiet = bool(quiet)
+ # Set by the converter when the run is cancellable (the TUI run
+ # view): a threading.Event that, once set, aborts the run between
+ # requests (and interrupts retry back-off sleeps).
+ self.cancel = None
+
+ def _report(self, message: str) -> None:
+ """Print a console line unless quiet (the run view owns the screen)."""
+ if not self.quiet:
+ print(message)
+
+ def generate_chunk(self, text: str, chunk_num: int) -> Optional[str]:
+ """Generate one audio chunk; returns its path in the chunks folder."""
+ raise NotImplementedError
+
+ def _cancel_requested(self) -> bool:
+ """True when the run's cancel event has been set (if any)."""
+ return isinstance(self.cancel, threading.Event) \
+ and self.cancel.is_set()
+
+ def _check_cancelled(self) -> None:
+ """Raise ConversionCancelled when the cancel event is set."""
+ if self._cancel_requested():
+ raise ConversionCancelled("Cancelled by user")
+
+ def _sleep(self, seconds: float) -> None:
+ """Sleep SECONDS, cut short (raising) when the cancel event sets."""
+ if isinstance(self.cancel, threading.Event):
+ if self.cancel.wait(seconds):
+ raise ConversionCancelled("Cancelled by user")
+ else:
+ time.sleep(seconds)
+
+ def _chunk_path(self, chunk_num: int, suffix: str) -> Path:
+ """Resolve the target path for a chunk, removing stale files first.
+
+ Any stale chunk file for this index is removed so a retry or extension
+ change can never leave two files matching chunk_NNNN.*.
+ """
+ for stale in self.chunks_dir.glob(f"chunk_{chunk_num:04d}.*"):
+ try:
+ stale.unlink()
+ except OSError as exc:
+ logger.debug("Could not remove stale chunk file %s: %s", stale, exc)
+ return self.chunks_dir / f"chunk_{chunk_num:04d}{suffix}"
+
+ def process_chunk_with_retry(self, chunk_num: int, text: str) -> Optional[Path]:
+ """Process a chunk with retry logic.
+
+ Returns the generated chunk file's path, or None when all attempts
+ failed. Raises ConversionCancelled when the run was cancelled.
+ """
+ for attempt in range(config.MAX_RETRIES):
+ self._check_cancelled()
+ try:
+ result = self.generate_chunk(text, chunk_num)
+ if result and Path(result).exists():
+ return Path(result)
+ logger.warning("Chunk %d attempt %d failed", chunk_num, attempt + 1)
+ except ConversionCancelled:
+ raise
+ except Exception as exc:
+ logger.warning("Chunk %d attempt %d error: %s", chunk_num, attempt + 1, exc)
+
+ if attempt < config.MAX_RETRIES - 1:
+ sleep_time = 5 + (2 ** attempt)
+ logger.info("Waiting %ds before retry...", sleep_time)
+ self._sleep(sleep_time)
+
+ logger.error("Chunk %d failed after %d attempts", chunk_num, config.MAX_RETRIES)
+ return None
+
+ @contextlib.contextmanager
+ def _chunk_heartbeat(self, chunk_num: int):
+ """Log a periodic "still working" record while a request generates."""
+ stop = threading.Event()
+ subject = f"Chunk {chunk_num}"
+
+ def _beat():
+ start = time.time()
+ while not stop.wait(config.HEARTBEAT_INTERVAL_SECONDS):
+ elapsed = time.time() - start
+ if self.quiet:
+ logger.info("%s still generating — %dm %ds elapsed",
+ subject, int(elapsed // 60), int(elapsed % 60))
+ else:
+ print(f"[...] {subject} still generating — "
+ f"{int(elapsed // 60)}m {int(elapsed % 60)}s elapsed",
+ flush=True)
+
+ thread = threading.Thread(target=_beat, daemon=True)
+ thread.start()
+ try:
+ yield
+ finally:
+ stop.set()
+ thread.join()
diff --git a/app/converter/clients/faster.py b/app/converter/clients/faster.py
new file mode 100644
index 0000000..df98546
--- /dev/null
+++ b/app/converter/clients/faster.py
@@ -0,0 +1,123 @@
+"""Client for the faster-qwen3-tts OpenAI-compatible server."""
+
+import json
+import logging
+import urllib.error
+import urllib.request
+import wave
+from pathlib import Path
+from typing import List, Optional
+
+from .. import config
+from ..chunking import split_into_chunks
+from .base import BaseTTSClient, ConversionCancelled
+
+logger = logging.getLogger(__name__)
+
+# The 12Hz codec the faster server synthesizes with outputs 24 kHz audio.
+SAMPLE_RATE = 24000
+
+
+class FasterTTSClient(BaseTTSClient):
+ """Generates audio chunks through a faster-qwen3-tts server.
+
+ Talks to the OpenAI-compatible server shipped in the faster-qwen3-tts
+ repository (examples/openai_server.py). The reference voice (ref audio,
+ ref text) and language are configured on the server itself via
+ --ref-audio/--ref-text or a --voices JSON file; this client only sends
+ text. Unlike the Qwen demo, the server performs one generation per
+ request, so long chunks are sub-chunked client-side.
+ """
+
+ def __init__(self, chunks_dir: Path,
+ voice: Optional[str] = None, api_url: Optional[str] = None,
+ quiet: bool = False):
+ super().__init__(chunks_dir, quiet=quiet)
+ self.voice = voice or config.FASTER_VOICE
+ self.api_url = (api_url or config.FASTER_API_URL).rstrip("/")
+ self._check_health()
+
+ def _check_health(self) -> None:
+ """Verify the server is reachable and its model is loaded."""
+ url = f"{self.api_url}/health"
+ try:
+ with urllib.request.urlopen(url, timeout=10) as response:
+ payload = json.loads(response.read().decode("utf-8"))
+ except Exception as exc:
+ raise RuntimeError(
+ f"Faster TTS server not reachable at {url}: {exc}. "
+ "Start the faster-qwen3-tts OpenAI-compatible server first "
+ "(see the 'Faster backend' section of the README)."
+ ) from exc
+ if not payload.get("model_loaded"):
+ raise RuntimeError(
+ "The faster TTS server is running but its model is not loaded yet; "
+ "wait for model download and startup to finish, then retry."
+ )
+ self._report(f"[OK] Connected to faster TTS API at {self.api_url} (voice '{self.voice}')")
+ self._report(f"[INFO] The server silently falls back to its first configured voice if "
+ f"'{self.voice}' is not defined in its voice config (see README).")
+
+ # ------------------------------------------------------------------
+ # HTTP requests
+ # ------------------------------------------------------------------
+
+ def _request_pcm(self, text: str) -> bytes:
+ """POST one sub-chunk and return raw 16-bit mono PCM bytes."""
+ url = f"{self.api_url}/v1/audio/speech"
+ payload = json.dumps({
+ "model": "tts-1",
+ "input": text,
+ "voice": self.voice,
+ "response_format": "pcm",
+ }).encode("utf-8")
+ request = urllib.request.Request(
+ url, data=payload, headers={"Content-Type": "application/json"}, method="POST")
+ try:
+ with urllib.request.urlopen(request, timeout=config.API_TIMEOUT) as response:
+ pcm = response.read()
+ except urllib.error.HTTPError as exc:
+ detail = ""
+ try:
+ detail = exc.read().decode("utf-8", errors="replace")[:200]
+ except Exception:
+ pass
+ raise RuntimeError(f"Faster TTS server returned HTTP {exc.code}: {detail}") from exc
+ except urllib.error.URLError as exc:
+ raise RuntimeError(f"Faster TTS request failed: {exc.reason}") from exc
+ if not pcm:
+ raise RuntimeError("Faster TTS server returned empty audio")
+ return pcm
+
+ # ------------------------------------------------------------------
+ # Chunk generation
+ # ------------------------------------------------------------------
+
+ def generate_chunk(self, text: str, chunk_num: int) -> Optional[str]:
+ """Generate one audio chunk; returns its path in the chunks folder."""
+ try:
+ sub_chunks = split_into_chunks(text, max_words=config.CHUNK_SIZE)
+ if not sub_chunks:
+ raise RuntimeError("No text to synthesize")
+
+ pcm_parts: List[bytes] = []
+ with self._chunk_heartbeat(chunk_num):
+ for sub_num, sub_text in enumerate(sub_chunks, 1):
+ pcm = self._request_pcm(sub_text)
+ pcm_parts.append(pcm)
+
+ output_path = self._chunk_path(chunk_num, ".wav")
+ with wave.open(str(output_path), "wb") as wav_file:
+ wav_file.setnchannels(1)
+ wav_file.setsampwidth(2)
+ wav_file.setframerate(SAMPLE_RATE)
+ wav_file.writeframes(b"".join(pcm_parts))
+
+ logger.debug("Chunk %d generated (%d sub-chunks)", chunk_num, len(sub_chunks))
+ return str(output_path)
+
+ except ConversionCancelled:
+ raise
+ except Exception as exc:
+ logger.error("Faster chunk processing failed for chunk %d: %s", chunk_num, exc)
+ return None
diff --git a/app/converter/clients/languages.py b/app/converter/clients/languages.py
new file mode 100644
index 0000000..079dead
--- /dev/null
+++ b/app/converter/clients/languages.py
@@ -0,0 +1,74 @@
+"""Language tables shared by the TTS clients and their UIs."""
+
+from typing import Optional
+
+# Languages the Qwen3-TTS demo accepts as display names (its API silently
+# falls back to "Auto" for anything else, so unknown names are rejected
+# before a run starts instead of mispronouncing a whole book).
+TTS_LANGUAGES = (
+ "Auto", "Chinese", "English", "German", "Italian", "Portuguese",
+ "Spanish", "Japanese", "Korean", "French", "Russian",
+)
+
+# Short aliases accepted on the command line (ISO 639-1 codes and common
+# shorthands), mapped to the display names above.
+TTS_LANGUAGE_ALIASES = {
+ "zh": "Chinese",
+ "en": "English",
+ "de": "German",
+ "it": "Italian",
+ "pt": "Portuguese",
+ "es": "Spanish",
+ "ja": "Japanese",
+ "ko": "Korean",
+ "fr": "French",
+ "ru": "Russian",
+ "zh-cn": "Chinese",
+ "zh-tw": "Chinese",
+ "pt-br": "Portuguese",
+ "en-us": "English",
+ "en-gb": "English",
+}
+
+# Qwen display names -> ISO 639-1 codes, for audio.cpp families whose
+# language request option takes a code instead of a display name. "Auto"
+# has no code and maps to None so the field is omitted and the server
+# applies its own default.
+LANGUAGE_ISO_CODES = {
+ "Chinese": "zh",
+ "English": "en",
+ "German": "de",
+ "Italian": "it",
+ "Portuguese": "pt",
+ "Spanish": "es",
+ "Japanese": "ja",
+ "Korean": "ko",
+ "French": "fr",
+ "Russian": "ru",
+}
+
+
+def normalize_language(value: Optional[str]) -> str:
+ """Normalize a user-provided language name to a Qwen3-TTS display name.
+
+ Accepts the display names in TTS_LANGUAGES case-insensitively as
+ well as the short aliases in TTS_LANGUAGE_ALIASES (ISO 639-1 codes
+ and common shorthands). Raises ValueError for anything else, since the
+ Qwen3-TTS demo silently falls back to "Auto" for unrecognized languages.
+ """
+ if value is None:
+ raise ValueError("Language must not be None")
+ candidate = value.strip()
+ if not candidate:
+ raise ValueError("Language must not be empty")
+ for name in TTS_LANGUAGES:
+ if candidate.lower() == name.lower():
+ return name
+ alias = TTS_LANGUAGE_ALIASES.get(candidate.lower())
+ if alias:
+ return alias
+ raise ValueError(
+ f"Unknown language: {value!r}. Expected one of "
+ f"{', '.join(TTS_LANGUAGES)} (or an alias: "
+ f"{', '.join(sorted(TTS_LANGUAGE_ALIASES))})."
+ )
diff --git a/app/converter/clients/qwen.py b/app/converter/clients/qwen.py
new file mode 100644
index 0000000..354ee04
--- /dev/null
+++ b/app/converter/clients/qwen.py
@@ -0,0 +1,322 @@
+"""Client for the qwen-tts Gradio demo servers (CustomVoice + Base)."""
+
+import io
+import logging
+import shutil
+import sys
+import tempfile
+from pathlib import Path
+from typing import Any, Dict, Optional, Tuple
+
+from .. import config
+from ..audio import concat_audio_files
+from ..chunking import split_into_chunks
+from .base import (BaseTTSClient, ConversionCancelled, resolve_request_seed,
+ VOICE_MODE_CLONE, VOICE_MODE_CUSTOM, VOICE_MODES)
+from .languages import normalize_language
+from .speakers import speaker_display_name
+
+logger = logging.getLogger(__name__)
+
+# Fixed model facts: both demos run the 1.7B model (the CustomVoice demo
+# takes its full HuggingFace id), and the 12Hz codec outputs 24 kHz audio.
+MODEL_SIZE = "1.7B"
+CUSTOM_VOICE_MODEL_ID = "Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice"
+
+
+class QwenTTSClient(BaseTTSClient):
+ """Generates audio chunks through a Qwen3-TTS demo server."""
+
+ def __init__(self, chunks_dir: Path,
+ voice_mode: str = "custom_voice", voice_clone_ref_audio: Optional[str] = None,
+ voice_clone_ref_text: Optional[str] = None, skip_transcription: bool = False,
+ language: Optional[str] = None, api_url: Optional[str] = None,
+ quiet: bool = False):
+ super().__init__(chunks_dir, quiet=quiet)
+ if voice_mode not in VOICE_MODES:
+ raise ValueError(
+ f"Unknown voice mode: {voice_mode!r} (expected one of {VOICE_MODES})"
+ )
+ self.voice_mode = voice_mode
+ self.voice_clone_ref_audio = voice_clone_ref_audio
+ self.voice_clone_ref_text = (voice_clone_ref_text or "").strip()
+ self.skip_transcription = skip_transcription
+ # api_url overrides the configured endpoint for the active voice mode
+ # (used by the hub's "[remote]" backend entries and --api-url).
+ self.api_url = (api_url or "").strip() or None
+ # Seed sent with every request: config.SEED as-is, or (with
+ # CONSTANT_SEED and SEED < 0) one random value drawn per run and
+ # reused for every request so the voice stays consistent across
+ # chunk boundaries. Without CONSTANT_SEED, -1 is forwarded so the
+ # server re-samples the voice on every generation.
+ self._seed = resolve_request_seed()
+ if language is None:
+ language = config.LANGUAGE
+ # Validate before connecting so bad values fail fast without a server.
+ self.language = normalize_language(language)
+ self.client = None
+ self.api_info: Dict[str, Any] = {}
+ self.clone_client = None
+ self.clone_api_info: Dict[str, Any] = {}
+ self._ref_audio_filedata: Optional[Dict[str, Any]] = None
+ self._connect()
+
+ # ------------------------------------------------------------------
+ # Connection
+ # ------------------------------------------------------------------
+
+ def _connect(self) -> None:
+ api_url = self.api_url or (
+ config.CLONE_API_URL if self.voice_mode == VOICE_MODE_CLONE
+ else config.QWEN_API_URL)
+ try:
+ if self.voice_mode == VOICE_MODE_CLONE:
+ # Voice clone uses the Base-model demo, which is a separate server
+ # from the CustomVoice demo (that one only exposes /run_instruct).
+ self._init_client(api_url, clone=True)
+ self._report(f"[OK] Connected to Voice Clone API at {api_url}")
+ self._resolve_reference_text()
+ else:
+ self._init_client(api_url, clone=False)
+ self._report("[OK] Connected to Qwen API")
+ except Exception as exc:
+ raise RuntimeError(
+ f"Qwen API initialization failed at {api_url}: {exc}. "
+ "Make sure the Qwen demo server is running and reachable, and that your "
+ "installed Qwen3-TTS version matches this converter's API expectations "
+ "(voice clone requires the Base-model demo: Qwen/Qwen3-TTS-12Hz-1.7B-Base)."
+ ) from exc
+
+ def _resolve_reference_text(self) -> None:
+ """Resolve the reference transcript: explicit text, then local
+ transcription, then x-vector-only mode."""
+ if not self.voice_clone_ref_text and self.voice_clone_ref_audio:
+ if self.skip_transcription:
+ self._report("[INFO] Skipping reference audio transcription (--no-transcription).")
+ else:
+ self._report("[INFO] Transcribing reference audio for voice cloning...")
+ self.voice_clone_ref_text = self.transcribe_audio(self.voice_clone_ref_audio) or ""
+ if not self.voice_clone_ref_text:
+ self._report("[WARNING] No reference text available; using "
+ "x-vector-only clone mode (lower quality).")
+ self._report(' Pass --transcription "..." for higher-quality in-context cloning.')
+ else:
+ self._report(f"[OK] Reference text:\n{self.voice_clone_ref_text}")
+
+ def _init_client(self, url: str, clone: bool = False) -> None:
+ """Initialize a Gradio client and store its API metadata.
+
+ gradio_client prints its usage info directly to stdout while the
+ client is created and its API metadata loaded, so stdout is swapped
+ for a buffer for the whole process; the captured text is re-emitted
+ at DEBUG level for troubleshooting.
+ """
+ from gradio_client import Client
+
+ logger.info("Connecting to Qwen API at %s...", url)
+ old_stdout = sys.stdout
+ captured = io.StringIO()
+ sys.stdout = captured
+ try:
+ try:
+ client = Client(url, httpx_kwargs={"timeout": config.API_TIMEOUT})
+ except TypeError:
+ # Older gradio_client versions don't support httpx_kwargs.
+ client = Client(url)
+ if clone:
+ self.clone_client = client
+ self.clone_api_info = self._load_api_info(client)
+ else:
+ self.client = client
+ self.api_info = self._load_api_info(client)
+ finally:
+ sys.stdout = old_stdout
+ usage_info = captured.getvalue().strip()
+ if usage_info:
+ logger.debug("Gradio client output for %s:\n%s", url, usage_info)
+ logger.info("Connected to Qwen API")
+
+ @staticmethod
+ def _load_api_info(client) -> Dict[str, Any]:
+ """Load available API metadata from the Gradio app."""
+ try:
+ return client.view_api(return_format="dict")
+ except Exception as exc:
+ logger.warning("Unable to read API metadata: %s", exc)
+ return {}
+
+ def _resolve_api_name(self, *candidates: str, api_info: Optional[Dict[str, Any]] = None) -> str:
+ """Return the first available api_name from candidate list."""
+ info = api_info if api_info is not None else self.api_info
+ named_endpoints = info.get("named_endpoints", {})
+ for candidate in candidates:
+ if candidate in named_endpoints:
+ return candidate
+ return candidates[0]
+
+ def _endpoint_accepts_param(self, api_name: str, param_name: str,
+ api_info: Optional[Dict[str, Any]] = None) -> bool:
+ """Check whether endpoint input schema includes the given parameter."""
+ info = api_info if api_info is not None else self.api_info
+ endpoint = info.get("named_endpoints", {}).get(api_name, {})
+ parameters = endpoint.get("parameters", [])
+ return any(parameter.get("parameter_name") == param_name for parameter in parameters)
+
+ # ------------------------------------------------------------------
+ # Reference audio transcription (voice clone)
+ # ------------------------------------------------------------------
+
+ def transcribe_audio(self, audio_path: str) -> Optional[str]:
+ """Transcribe reference audio locally using an optional Whisper backend."""
+ from .transcribe import transcribe_reference_audio
+ return transcribe_reference_audio(audio_path)
+
+ # ------------------------------------------------------------------
+ # Chunk generation
+ # ------------------------------------------------------------------
+
+ def generate_chunk(self, text: str, chunk_num: int) -> Optional[str]:
+ """Generate one audio chunk; returns its path in the chunks folder.
+
+ The text is split into sub-requests of at most
+ ``config.CHUNK_SIZE`` words each (the book-level chunker
+ normally guarantees this already; the split is defense in depth
+ against pathological input such as a punctuation-free run of
+ text), and the audio files returned for the sub-requests are
+ concatenated into one chunk file.
+ """
+ try:
+ sub_texts = split_into_chunks(text, max_words=config.CHUNK_SIZE)
+ if not sub_texts:
+ raise RuntimeError("No text to synthesize")
+
+ output_path: Optional[Path] = None
+ with tempfile.TemporaryDirectory(prefix="tts_parts_") as parts_dir, \
+ self._chunk_heartbeat(chunk_num):
+ part_paths = [
+ self._generate_sub_request(sub_text, parts_dir, sub_num,
+ len(sub_texts), chunk_num)
+ for sub_num, sub_text in enumerate(sub_texts, 1)
+ ]
+ if len(part_paths) == 1:
+ suffix = part_paths[0].suffix or ".wav"
+ output_path = self._chunk_path(chunk_num, suffix)
+ shutil.copy2(part_paths[0], output_path)
+ else:
+ output_path = self._chunk_path(chunk_num, ".wav")
+ concat_audio_files(part_paths, output_path)
+
+ logger.debug("Chunk %d generated successfully (%d sub-request(s))",
+ chunk_num, len(sub_texts))
+ return str(output_path)
+
+ except ConversionCancelled:
+ raise
+ except Exception as exc:
+ logger.error("Qwen chunk processing failed for chunk %d: %s", chunk_num, exc)
+ return None
+
+ def _generate_sub_request(self, text: str, parts_dir: str, sub_num: int,
+ sub_total: int, chunk_num: int) -> Path:
+ """Run one API generation for ``text``; returns the downloaded audio."""
+ if sub_total > 1:
+ logger.info("Chunk %d: oversized input split into %d requests "
+ "(sub-request %d/%d)", chunk_num, sub_total, sub_num, sub_total)
+ if self.voice_mode == VOICE_MODE_CUSTOM:
+ result = self._generate_custom_voice(text)
+ elif self.voice_mode == VOICE_MODE_CLONE:
+ result = self._generate_voice_clone(text)
+ else:
+ raise ValueError(f"Unknown voice mode: {self.voice_mode}")
+
+ if not isinstance(result, (tuple, list)) or not result:
+ raise RuntimeError("Qwen API returned an invalid result")
+
+ audio_path = result[0] # First element is the audio file path
+ if not isinstance(audio_path, (str, Path)) or not audio_path:
+ raise RuntimeError("Qwen API did not return an audio file path")
+
+ source = Path(audio_path)
+ if not source.exists():
+ raise RuntimeError(f"Generated audio file not found: {audio_path}")
+
+ destination = Path(parts_dir) / f"part_{sub_num:02d}{source.suffix or '.wav'}"
+ shutil.copy2(source, destination)
+
+ return destination
+
+ # ------------------------------------------------------------------
+ # API payloads
+ # ------------------------------------------------------------------
+
+ def _generate_custom_voice(self, text: str) -> Tuple:
+ """Generate audio using CustomVoice mode."""
+ custom_api = self._resolve_api_name("/run_instruct", "/run_custom_voice", "/generate_custom_voice")
+ if custom_api == "/run_instruct":
+ payload = dict(
+ text=text,
+ lang_disp=self.language,
+ spk_disp=speaker_display_name(),
+ instruct=config.INSTRUCT,
+ )
+ else:
+ payload = dict(
+ text=text,
+ language=self.language,
+ speaker=config.SPEAKER,
+ instruct=config.INSTRUCT,
+ )
+ if self._endpoint_accepts_param(custom_api, "model_id_cv"):
+ payload["model_id_cv"] = CUSTOM_VOICE_MODEL_ID
+ elif self._endpoint_accepts_param(custom_api, "model_size"):
+ payload["model_size"] = MODEL_SIZE
+
+ if self._endpoint_accepts_param(custom_api, "seed"):
+ payload["seed"] = self._seed
+
+ return self.client.predict(**payload, api_name=custom_api)
+
+ def _ref_audio_payload(self) -> Dict[str, Any]:
+ """Gradio file payload for the reference audio (built once, reused)."""
+ if self._ref_audio_filedata is None:
+ from gradio_client import handle_file
+ self._ref_audio_filedata = handle_file(self.voice_clone_ref_audio)
+ return self._ref_audio_filedata
+
+ def _generate_voice_clone(self, text: str) -> Tuple:
+ """Generate audio using Voice Clone mode."""
+ if not Path(self.voice_clone_ref_audio).exists():
+ raise FileNotFoundError(f"Reference audio not found: {self.voice_clone_ref_audio}")
+
+ if self.clone_client is None:
+ raise RuntimeError("Voice Clone client is not initialized. Is the Base-model demo running?")
+
+ clone_api = self._resolve_api_name("/run_voice_clone", "/generate_voice_clone",
+ api_info=self.clone_api_info)
+ use_xvector = config.XVECTOR_ONLY or not self.voice_clone_ref_text
+
+ if clone_api == "/run_voice_clone":
+ payload = dict(
+ ref_aud=self._ref_audio_payload(),
+ ref_txt=self.voice_clone_ref_text,
+ use_xvec=use_xvector,
+ text=text,
+ lang_disp=self.language,
+ )
+ else:
+ payload = dict(
+ ref_audio=self._ref_audio_payload(),
+ ref_text=self.voice_clone_ref_text,
+ target_text=text,
+ language=self.language,
+ use_xvector_only=use_xvector,
+ )
+ optional_params = {
+ "model_size": MODEL_SIZE,
+ "seed": self._seed,
+ }
+ for name, value in optional_params.items():
+ if self._endpoint_accepts_param(clone_api, name, api_info=self.clone_api_info):
+ payload[name] = value
+
+ return self.clone_client.predict(**payload, api_name=clone_api)
diff --git a/app/converter/clients/speakers.py b/app/converter/clients/speakers.py
new file mode 100644
index 0000000..eecd52a
--- /dev/null
+++ b/app/converter/clients/speakers.py
@@ -0,0 +1,57 @@
+"""Qwen3-TTS built-in speaker names and their wire (display) forms."""
+
+from typing import Optional
+
+from .. import config
+
+# Built-in CustomVoice speaker names for the Qwen3-TTS family. Shared by the
+# qwen-tts demo backend (config.SPEAKER, the qwen setup/form) and the
+# audio.cpp audiocpp backend's CustomVoice entry (the Convert form's Speaker
+# picker). Entries are the canonical/config form; speaker_display_name()
+# maps them to the wire (display) form via SPEAKER_DISPLAY_NAMES below.
+QWEN3_TTS_SPEAKERS = ("Vivian", "Serena", "Uncle_Fu", "Dylan", "Eric",
+ "Ryan", "Aiden", "Ono_Anna", "Sohee")
+
+# Canonical speaker names -> display names used by the qwen-tts demo.
+SPEAKER_DISPLAY_NAMES = {
+ "ryan": "Ryan",
+ "serena": "Serena",
+ "vivian": "Vivian",
+ "uncle_fu": "Uncle Fu",
+ "aiden": "Aiden",
+ "ono_anna": "Ono Anna",
+ "sohee": "Sohee",
+ "eric": "Eric",
+ "dylan": "Dylan",
+}
+
+
+def speaker_display_name_for(name: str) -> str:
+ """Return the wire (display) form of a Qwen3-TTS CustomVoice speaker NAME.
+
+ Accepts either the canonical/config form (e.g. "uncle_fu", "Uncle_Fu")
+ or the display form ("Uncle Fu"), case-insensitively; unknown names pass
+ through unchanged. Used by AudioCppTTSClient to normalize the --voice /
+ Speaker-picker value into what audiocpp_server expects in the request's
+ voice field.
+ """
+ return SPEAKER_DISPLAY_NAMES.get((name or "").lower(), name)
+
+
+def is_builtin_speaker(name: Optional[str]) -> bool:
+ """True when NAME is one of the Qwen3-TTS CustomVoice built-in speakers.
+
+ Matches case-insensitively across the canonical ("Uncle_Fu"), display
+ ("Uncle Fu") and shorthand ("uncle_fu") forms, so the --voice flag and
+ the Convert form's Speaker picker resolve to the same set.
+ """
+ if not name:
+ return False
+ norm = name.lower().replace("_", " ").replace("-", " ")
+ return any(norm == speaker.lower().replace("_", " ")
+ for speaker in QWEN3_TTS_SPEAKERS)
+
+
+def speaker_display_name() -> str:
+ """Return the display name for the configured custom speaker."""
+ return speaker_display_name_for(config.SPEAKER)
diff --git a/app/converter/clients/transcribe.py b/app/converter/clients/transcribe.py
new file mode 100644
index 0000000..d2db9f1
--- /dev/null
+++ b/app/converter/clients/transcribe.py
@@ -0,0 +1,54 @@
+"""Optional local Whisper transcription of reference audio."""
+
+import logging
+from typing import Optional
+
+logger = logging.getLogger(__name__)
+
+
+def transcribe_reference_audio(audio_path: str, model_name: str = "base") -> Optional[str]:
+ """Transcribe reference audio locally using an optional Whisper backend.
+
+ The current qwen-tts demo does not expose a transcription endpoint, so
+ transcription is done client-side when a Whisper package is available.
+ Returns None if no backend is installed.
+ """
+ for backend in ("faster_whisper", "whisper"):
+ try:
+ if backend == "faster_whisper":
+ from faster_whisper import WhisperModel
+ model = WhisperModel(model_name, device="cpu", compute_type="int8")
+ segments, _ = model.transcribe(audio_path)
+ text = " ".join(seg.text.strip() for seg in segments).strip()
+ else:
+ import whisper
+ model = whisper.load_model(model_name)
+ result = model.transcribe(audio_path)
+ text = (result.get("text") or "").strip()
+ if text:
+ logger.info("Transcription complete via %s: %s", backend, text)
+ return text
+ except ImportError:
+ continue
+ except Exception as exc:
+ logger.warning("%s transcription failed: %s", backend, exc)
+ logger.warning("No Whisper backend available; transcription skipped.")
+ return None
+
+
+def whisper_backend_available() -> Optional[str]:
+ """Return the name of an importable Whisper backend, or None.
+
+ Checks faster_whisper first (preferred), then the openai-whisper
+ package, without importing the heavy model code: a bare import probe
+ is enough to tell whether the package is installed in the current
+ environment. Used by the make_audiocpp_server_json tool to warn when
+ neither is present (e.g. the wrong conda environment is active).
+ """
+ for backend in ("faster_whisper", "whisper"):
+ try:
+ __import__(backend)
+ except ImportError:
+ continue
+ return backend
+ return None