634 lines
23 KiB
Python
634 lines
23 KiB
Python
#!/usr/bin/env python3
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"""Private XTTS-first TTS gateway with a Piper fallback.
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The gateway implements the narrow /status and /tts protocol already consumed
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by the profile router. Request text is never logged or persisted.
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"""
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from __future__ import annotations
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import io
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import json
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import os
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import re
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import subprocess
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import threading
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import time
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import unicodedata
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import urllib.error
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import urllib.request
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import wave
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from array import array
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from http import HTTPStatus
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from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
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HOST = os.getenv("TTS_GATEWAY_HOST", "0.0.0.0")
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PORT = int(os.getenv("TTS_GATEWAY_PORT", "8085"))
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XTTS_URL = os.getenv("XTTS_URL", "http://xtts:80").rstrip("/")
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PIPER_URL = os.getenv("PIPER_URL", "http://piper:8085").rstrip("/")
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VOICE_ALIAS = os.getenv("TTS_VOICE_ALIAS", "alloy")
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XTTS_SPEAKER = os.getenv("XTTS_SPEAKER", "Annmarie Nele")
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DEFAULT_LANGUAGE = os.getenv("TTS_DEFAULT_LANGUAGE", "de")
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CODE_SWITCH_ENABLED = os.getenv("TTS_CODE_SWITCH_ENABLED", "false").lower() \
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in {"1", "true", "yes", "on"}
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MAX_TEXT_CHARS = int(os.getenv("TTS_MAX_TEXT_CHARS", "8000"))
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MAX_REQUEST_BYTES = int(os.getenv("TTS_MAX_REQUEST_BYTES", "65536"))
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MAX_AUDIO_BYTES = int(os.getenv("TTS_MAX_AUDIO_BYTES", str(64 * 1024 * 1024)))
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XTTS_TIMEOUT = float(os.getenv("XTTS_TIMEOUT", "120"))
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PIPER_TIMEOUT = float(os.getenv("PIPER_TIMEOUT", "120"))
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QUEUE_TIMEOUT = float(os.getenv("XTTS_QUEUE_TIMEOUT", "15"))
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# XTTS can insert multi-second silences or truncate the remainder when a
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# moderately long German paragraph is sent as one request. Keeping requests
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# close to one sentence proved substantially more stable with Annmarie Nele.
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CHUNK_CHARS = int(os.getenv("XTTS_CHUNK_CHARS", "60"))
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TRIM_THRESHOLD = int(os.getenv("XTTS_TRIM_THRESHOLD", "90"))
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TRIM_PADDING_MS = int(os.getenv("XTTS_TRIM_PADDING_MS", "18"))
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CROSSFADE_MS = int(os.getenv("XTTS_CROSSFADE_MS", "8"))
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SENTENCE_PAUSE_MS = int(os.getenv("XTTS_SENTENCE_PAUSE_MS", "65"))
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SYNTHESIS_LOCK = threading.Lock()
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STATE_LOCK = threading.Lock()
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SPEAKER_LOCK = threading.Lock()
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SPEAKER_CONDITIONING: dict | None = None
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STATE = {
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"last_backend": None,
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"xtts_failures": 0,
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"piper_fallbacks": 0,
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"last_error": None,
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}
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# Prefer full compounds to isolated terms. This keeps switches infrequent and
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# avoids making mixed-language speech sound like a sequence of separate clips.
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ENGLISH_TERMS = (
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"unsupported image format", "premature end of JPEG", "incomplete scan",
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"Docker Containers", "Docker-Containers", "Docker Containern",
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"Docker-Containern", "Health Checks", "Health-Checks",
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"Restart Loops", "Restart-Loops", "False Positive", "Delivery Errors",
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"DeliveryErrors", "Ack Problem", "Ack-Problem", "I/O timeout",
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"Parity Check", "Parity-Check", "Disk disabled", "Disk invalid",
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"Home Assistant", "Open WebUI", "OpenWebUI", "Unraid Dashboard",
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"Unraid-Dashboard", "Docker Container", "Docker-Container",
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"Server Log", "Server-Log", "GitHub Repository", "GitHub Repo",
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"WireGuard Tunnel", "Cron Job", "Cronjob", "Home Server",
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"API Key", "Tool Calling", "Context Window", "Prompt Injection",
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"Unraid", "Docker", "Containern", "Containers", "Container",
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"Crashes", "healthy", "disabled", "invalid", "Dashboard", "Server",
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"Logs", "Log", "Matches", "up",
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"OpenAI", "GitHub", "WireGuard", "Linux", "Debian", "Frontend",
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"Backend", "Router", "Browser", "Web", "Token", "Prompt", "Context",
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"Model", "Image", "Tool", "Workflow", "Benchmark", "Streaming",
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"SSH", "MCP", "API", "CPU", "GPU", "VRAM", "RAM", "HTTP", "HTTPS",
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"HomeAssistant", "ESPHome", "iGotify", "Immich", "Vaultwarden",
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"UniFi", "UptimeKuma", "go2rtc", "Zigbee", "SONOFF", "eWeLink",
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"RTSP", "JPEG", "NVMe", "GiB",
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)
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TERM_PATTERN = re.compile(
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r"(?<![\w])(" + "|".join(
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re.escape(term) for term in sorted(ENGLISH_TERMS, key=len, reverse=True)
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) + r")(?![\w])",
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re.IGNORECASE,
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)
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GERMAN_MARKERS = {
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"aber", "auch", "auf", "das", "der", "die", "ein", "eine", "für",
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"ich", "ist", "kann", "mit", "nicht", "noch", "oder", "soll", "und",
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"wenn", "wir", "wird", "zu",
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}
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ENGLISH_MARKERS = {
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"a", "and", "are", "can", "for", "from", "if", "in", "is", "it",
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"of", "on", "or", "please", "the", "this", "to", "with", "you",
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}
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ENGLISH_PRONUNCIATIONS = {
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"containern": "containers",
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"docker containern": "Docker containers",
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"docker-containern": "Docker containers",
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"docker-container": "Docker container",
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"docker-containers": "Docker containers",
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"health-checks": "health checks",
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"restart-loops": "restart loops",
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"deliveryerrors": "delivery errors",
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"ack-problem": "ack problem",
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"i/o timeout": "I O timeout",
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"parity-check": "parity check",
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"homeassistant": "Home Assistant",
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"openwebui": "Open Web U I",
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"rtsp": "R T S P",
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"jpeg": "J peg",
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"nvme": "N V M E",
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"gib": "gigabytes",
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}
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GERMAN_MONTHS = {
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1: "Januar", 2: "Februar", 3: "März", 4: "April",
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5: "Mai", 6: "Juni", 7: "Juli", 8: "August",
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9: "September", 10: "Oktober", 11: "November", 12: "Dezember",
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}
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GERMAN_DIGITS = {
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"0": "null", "1": "eins", "2": "zwei", "3": "drei", "4": "vier",
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"5": "fünf", "6": "sechs", "7": "sieben", "8": "acht", "9": "neun",
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}
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def _request(url: str, *, payload: dict | None = None,
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timeout: float = 10) -> tuple[bytes, str]:
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data = None
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headers = {}
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method = "GET"
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if payload is not None:
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data = json.dumps(payload, separators=(",", ":")).encode()
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headers["Content-Type"] = "application/json"
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method = "POST"
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request = urllib.request.Request(
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url, data=data, headers=headers, method=method)
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with urllib.request.urlopen(request, timeout=timeout) as response:
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body = response.read(MAX_AUDIO_BYTES + 1)
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if len(body) > MAX_AUDIO_BYTES:
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raise RuntimeError("upstream audio response is too large")
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return body, response.headers.get_content_type()
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def _json(url: str, timeout: float = 10) -> dict | list:
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body, _ = _request(url, timeout=timeout)
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return json.loads(body)
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def _reachable(url: str, path: str, timeout: float = 2) -> bool:
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try:
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_request(f"{url}{path}", timeout=timeout)
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return True
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except (OSError, ValueError, RuntimeError, urllib.error.URLError):
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return False
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def _looks_english(text: str) -> bool:
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words = re.findall(r"[A-Za-zÀ-ÿ]+", text.lower())
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if not words:
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return False
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german = sum(word in GERMAN_MARKERS for word in words)
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english = sum(word in ENGLISH_MARKERS for word in words)
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return english >= 2 and english > german * 1.5 and not re.search(r"[äöüß]", text.lower())
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def segment_languages(text: str) -> list[tuple[str, str]]:
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"""Return a compact German/English segment sequence."""
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if _looks_english(text):
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return [("en", text)]
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if DEFAULT_LANGUAGE != "de":
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return [(DEFAULT_LANGUAGE, text)]
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if not CODE_SWITCH_ENABLED:
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return [("de", text)]
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segments: list[tuple[str, str]] = []
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cursor = 0
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for match in TERM_PATTERN.finditer(text):
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if match.start() > cursor:
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segments.append(("de", text[cursor:match.start()]))
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segments.append(("en", match.group(0)))
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cursor = match.end()
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if cursor < len(text):
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segments.append(("de", text[cursor:]))
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if not segments:
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return [("de", text)]
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merged: list[tuple[str, str]] = []
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for language, part in segments:
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if not part:
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continue
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if merged and merged[-1][0] == language:
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previous_language, previous_text = merged[-1]
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merged[-1] = (previous_language, previous_text + part)
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else:
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merged.append((language, part))
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return merged
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def _spoken_date(match: re.Match) -> str:
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day = int(match.group(1))
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month = int(match.group(2))
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year = match.group(3)
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month_name = GERMAN_MONTHS.get(month)
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if not month_name or not 1 <= day <= 31:
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return match.group(0)
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result = f"{day}. {month_name}"
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if year:
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result += f" {year}"
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return result
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def _spell_digits(value: str) -> str:
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return " ".join(GERMAN_DIGITS[digit] for digit in value)
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def normalize_for_german_speech(text: str) -> str:
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"""Turn common visual notation into unambiguous spoken German."""
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text = re.sub(
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r"(-?\d+(?:[,.]\d+)?)[ \t]*°[ \t]*(?:C)?[ \t]*/[ \t]*"
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r"(-?\d+(?:[,.]\d+)?)[ \t]*°[ \t]*(?:C)?",
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r"Höchstwert \1 Grad, Tiefstwert \2 Grad",
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text,
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flags=re.IGNORECASE,
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)
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text = re.sub(
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r"(-?\d+(?:[,.]\d+)?)[ \t]*°[ \t]*(?:C)?",
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r"\1 Grad",
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text,
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flags=re.IGNORECASE,
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)
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text = re.sub(
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r"\b([0-3]?\d)\.([01]?\d)\.(?:(\d{4})\b)?",
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_spoken_date,
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text,
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)
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text = re.sub(
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r"\bPLZ\s+(\d{5})\b",
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lambda match: "Postleitzahl " + _spell_digits(match.group(1)),
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text,
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flags=re.IGNORECASE,
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)
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text = re.sub(
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r"\((\d{5})\)",
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lambda match: "(Postleitzahl " + _spell_digits(match.group(1)) + ")",
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text,
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)
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text = re.sub(
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r"https?://(?:www\.)?([^/\s)]+)(?:/[^\s)]*)?",
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lambda match: match.group(1),
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text,
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flags=re.IGNORECASE,
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)
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text = re.sub(
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r"\b([A-Za-z0-9][A-Za-z0-9-]*(?:\.[A-Za-z0-9-]+)*)"
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r"\.(de|com|org|net|io|ai)\b",
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lambda match: (
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match.group(1).replace(".", " Punkt ")
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+ " Punkt "
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+ (
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"de" if match.group(2).lower() == "de"
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else " ".join(match.group(2).upper())
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)
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),
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text,
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flags=re.IGNORECASE,
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)
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text = re.sub(
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r"(-?\d+(?:[,.]\d+)?)\s*km\s*(?:/\s*)?h\b",
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r"\1 Kilometer pro Stunde",
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text,
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flags=re.IGNORECASE,
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)
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text = re.sub(r"(\d)\s*%", r"\1 Prozent", text)
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return text
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def clean_for_speech(text: str) -> str:
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"""Remove visual markup that makes long TTS output unstable or noisy."""
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text = re.sub(r"```.*?```", " Code block. ", text, flags=re.DOTALL)
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text = re.sub(r"`([^`]+)`", r"\1", text)
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text = re.sub(r"!\[([^]]*)\]\([^)]+\)", r"\1", text)
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text = re.sub(r"\[([^]]+)\]\([^)]+\)", r"\1", text)
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text = re.sub(r"(?m)^\s{0,3}#{1,6}\s*", "", text)
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text = re.sub(r"(?m)^\s*[-*+]\s+", "", text)
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text = text.replace("→", ". ").replace("←", ". ")
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if DEFAULT_LANGUAGE == "de":
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text = normalize_for_german_speech(text)
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# XTTS occasionally hallucinates syllables when visual punctuation is
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# submitted literally or isolated at a chunk boundary. Preserve its pause
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# semantics, but never ask the model to pronounce the glyph itself.
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text = re.sub(r"(?<=\w)[\-‐‑‒–—−](?=\w)", " ", text)
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text = re.sub(r"\s+[\-‐‑‒–—−]\s+", ", ", text)
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text = re.sub(r"\s*[:;]+\s*", ", ", text)
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# XTTS can pronounce literal question/exclamation glyphs as short
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# nonsense syllables (for example "?" as "nau"). Retain a sentence
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# boundary for pacing, but never pass those glyphs to the model.
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text = re.sub(r"\s*[!?]+\s*", ". ", text)
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text = "".join(
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char for char in text
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if unicodedata.category(char) not in {"So", "Cs"}
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)
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text = re.sub(r"[ \t]+", " ", text)
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text = re.sub(r"\s*\n+\s*", ". ", text)
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text = re.sub(r",\s*\.", ".", text)
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text = re.sub(r"(?:,\s*){2,}", ", ", text)
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text = re.sub(r"(?:\.\s*){2,}", ". ", text)
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return text.strip()
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def _split_chunk(text: str, limit: int = CHUNK_CHARS) -> list[str]:
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"""Split at natural pauses and keep every XTTS request comfortably short."""
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text = text.strip()
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if not text:
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return []
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if len(text) <= limit:
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return [text]
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pieces = re.split(r"(?<=[.!?;:])\s+|\s+(?=\d+[.)]\s)", text)
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chunks: list[str] = []
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current = ""
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for piece in pieces:
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piece = piece.strip()
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if not piece:
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continue
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if len(piece) > limit:
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words = piece.split()
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for word in words:
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candidate = f"{current} {word}".strip()
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if current and len(candidate) > limit:
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chunks.append(current)
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current = word
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else:
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current = candidate
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continue
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candidate = f"{current} {piece}".strip()
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if current and len(candidate) > limit:
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chunks.append(current)
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current = piece
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else:
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current = candidate
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if current:
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chunks.append(current)
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return chunks
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def prepare_segments(text: str) -> list[tuple[str, str]]:
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"""Prepare short, deterministic German/English XTTS requests."""
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prepared: list[tuple[str, str]] = []
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for language, segment in segment_languages(clean_for_speech(text)):
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if not re.search(r"\w", segment, flags=re.UNICODE):
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if prepared:
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previous_language, previous_text = prepared[-1]
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prepared[-1] = (previous_language, previous_text + segment.strip())
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continue
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spoken = segment
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if language == "en":
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spoken = ENGLISH_PRONUNCIATIONS.get(segment.strip().lower(), segment)
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for chunk in _split_chunk(spoken):
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prepared.append((language, chunk))
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return prepared
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def _speaker_conditioning() -> dict:
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global SPEAKER_CONDITIONING
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with SPEAKER_LOCK:
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if SPEAKER_CONDITIONING is not None:
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return SPEAKER_CONDITIONING
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speakers = _json(f"{XTTS_URL}/studio_speakers", XTTS_TIMEOUT)
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if not isinstance(speakers, dict) or XTTS_SPEAKER not in speakers:
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raise RuntimeError("configured XTTS speaker is unavailable")
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selected = speakers[XTTS_SPEAKER]
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SPEAKER_CONDITIONING = {
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"speaker_embedding": selected["speaker_embedding"],
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"gpt_cond_latent": selected["gpt_cond_latent"],
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}
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return SPEAKER_CONDITIONING
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def _xtts_pcm(text: str, language: str, conditioning: dict) -> bytes:
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payload = {
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**conditioning,
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"text": text,
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"language": language,
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"add_wav_header": True,
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"stream_chunk_size": "20",
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}
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audio, _ = _request(f"{XTTS_URL}/tts_stream", payload=payload,
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timeout=XTTS_TIMEOUT)
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if len(audio) < 44 or audio[:4] != b"RIFF" or audio[8:12] != b"WAVE":
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raise RuntimeError("XTTS returned invalid WAV data")
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return audio[44:]
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def _trim_pcm(pcm: bytes) -> bytes:
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"""Trim generated edge silence while retaining a small safety padding."""
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samples = array("h")
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samples.frombytes(pcm)
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if not samples:
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return pcm
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first = next((i for i, value in enumerate(samples)
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if abs(value) >= TRIM_THRESHOLD), 0)
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last = next((i for i in range(len(samples) - 1, -1, -1)
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if abs(samples[i]) >= TRIM_THRESHOLD), len(samples) - 1)
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padding = int(24000 * max(0, TRIM_PADDING_MS) / 1000)
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first = max(0, first - padding)
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last = min(len(samples) - 1, last + padding)
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return samples[first:last + 1].tobytes()
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def _fade_edge(pcm: bytes, *, fade_in: bool = False,
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fade_out: bool = False) -> bytes:
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samples = array("h")
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samples.frombytes(pcm)
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count = min(len(samples), int(24000 * max(0, CROSSFADE_MS) / 1000))
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if count <= 1:
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return pcm
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if fade_in:
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for index in range(count):
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samples[index] = int(samples[index] * index / (count - 1))
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if fade_out:
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start = len(samples) - count
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for index in range(count):
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samples[start + index] = int(
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samples[start + index] * (count - 1 - index) / (count - 1))
|
|
return samples.tobytes()
|
|
|
|
|
|
def _join_pcm(parts: list[tuple[str, bytes]]) -> bytes:
|
|
"""Join clips without clicks; pause only at real sentence boundaries."""
|
|
if not parts:
|
|
return b""
|
|
output = bytearray()
|
|
sentence_silence = b"\x00\x00" * int(
|
|
24000 * max(0, SENTENCE_PAUSE_MS) / 1000)
|
|
for index, (text, pcm) in enumerate(parts):
|
|
pcm = _trim_pcm(pcm)
|
|
previous_ends_sentence = index > 0 and bool(
|
|
re.search(r"[.!?;:]\s*$", parts[index - 1][0]))
|
|
if index == 0:
|
|
output.extend(_fade_edge(pcm, fade_in=True))
|
|
elif previous_ends_sentence:
|
|
if output:
|
|
faded = _fade_edge(bytes(output), fade_out=True)
|
|
output[:] = faded
|
|
output.extend(sentence_silence)
|
|
output.extend(_fade_edge(pcm, fade_in=True))
|
|
else:
|
|
# Language switches inside a sentence get no artificial pause.
|
|
# Small fades remove the discontinuity that otherwise sounds like
|
|
# a high click or beep between independently generated clips.
|
|
if output:
|
|
faded = _fade_edge(bytes(output), fade_out=True)
|
|
output[:] = faded
|
|
output.extend(_fade_edge(pcm, fade_in=True))
|
|
return bytes(output)
|
|
|
|
|
|
def _wav(pcm: bytes) -> bytes:
|
|
output = io.BytesIO()
|
|
with wave.open(output, "wb") as wav_file:
|
|
wav_file.setnchannels(1)
|
|
wav_file.setsampwidth(2)
|
|
wav_file.setframerate(24000)
|
|
wav_file.writeframes(pcm)
|
|
return output.getvalue()
|
|
|
|
|
|
def _convert(wav_bytes: bytes, output_format: str, speed: float) -> tuple[bytes, str]:
|
|
if output_format == "wav" and speed == 1.0:
|
|
return wav_bytes, "audio/wav"
|
|
codec = ["-codec:a", "libmp3lame", "-b:a", "96k", "-f", "mp3"] \
|
|
if output_format == "mp3" else ["-codec:a", "pcm_s16le", "-f", "wav"]
|
|
command = ["ffmpeg", "-hide_banner", "-loglevel", "error", "-f", "wav",
|
|
"-i", "pipe:0"]
|
|
if speed != 1.0:
|
|
command.extend(["-filter:a", f"atempo={speed:.4f}"])
|
|
command.extend([*codec, "pipe:1"])
|
|
result = subprocess.run(
|
|
command, input=wav_bytes, stdout=subprocess.PIPE, stderr=subprocess.PIPE,
|
|
check=False, timeout=120)
|
|
if result.returncode != 0 or not result.stdout:
|
|
raise RuntimeError("audio conversion failed")
|
|
return result.stdout, "audio/mpeg" if output_format == "mp3" else "audio/wav"
|
|
|
|
|
|
def synthesize_xtts(text: str, output_format: str,
|
|
speed: float) -> tuple[bytes, str]:
|
|
conditioning = _speaker_conditioning()
|
|
pcm_parts: list[tuple[str, bytes]] = []
|
|
for language, segment in prepare_segments(text):
|
|
if not segment.strip():
|
|
continue
|
|
pcm_parts.append((segment, _xtts_pcm(segment, language, conditioning)))
|
|
if not pcm_parts:
|
|
raise RuntimeError("no speech segments generated")
|
|
return _convert(_wav(_join_pcm(pcm_parts)), output_format, speed)
|
|
|
|
|
|
def synthesize_piper(text: str, output_format: str,
|
|
speed: float) -> tuple[bytes, str]:
|
|
return _request(
|
|
f"{PIPER_URL}/tts",
|
|
payload={"text": text, "voice": "alloy", "speed": speed,
|
|
"format": output_format},
|
|
timeout=PIPER_TIMEOUT,
|
|
)
|
|
|
|
|
|
def synthesize(text: str, output_format: str, speed: float) -> tuple[bytes, str]:
|
|
acquired = SYNTHESIS_LOCK.acquire(timeout=QUEUE_TIMEOUT)
|
|
if acquired:
|
|
try:
|
|
audio = synthesize_xtts(text, output_format, speed)
|
|
with STATE_LOCK:
|
|
STATE["last_backend"] = "xtts-v2"
|
|
STATE["last_error"] = None
|
|
return audio
|
|
except Exception as exc: # fallback must cover all XTTS failures
|
|
with STATE_LOCK:
|
|
STATE["xtts_failures"] += 1
|
|
STATE["last_error"] = type(exc).__name__
|
|
finally:
|
|
SYNTHESIS_LOCK.release()
|
|
else:
|
|
with STATE_LOCK:
|
|
STATE["xtts_failures"] += 1
|
|
STATE["last_error"] = "queue-timeout"
|
|
|
|
audio = synthesize_piper(text, output_format, speed)
|
|
with STATE_LOCK:
|
|
STATE["last_backend"] = "piper"
|
|
STATE["piper_fallbacks"] += 1
|
|
return audio
|
|
|
|
|
|
class Handler(BaseHTTPRequestHandler):
|
|
protocol_version = "HTTP/1.1"
|
|
|
|
def log_message(self, fmt: str, *args: object) -> None:
|
|
# Never log request URLs, bodies, synthesized text or speaker vectors.
|
|
print(f"tts-gateway: {self.command} -> {args[1] if len(args) > 1 else '-'}")
|
|
|
|
def send_bytes(self, status: int, body: bytes, content_type: str) -> None:
|
|
self.send_response(status)
|
|
self.send_header("Content-Type", content_type)
|
|
self.send_header("Content-Length", str(len(body)))
|
|
self.send_header("Cache-Control", "no-store")
|
|
self.end_headers()
|
|
self.wfile.write(body)
|
|
|
|
def send_json(self, status: int, payload: dict) -> None:
|
|
self.send_bytes(status, json.dumps(payload, separators=(",", ":")).encode(),
|
|
"application/json")
|
|
|
|
def do_GET(self) -> None: # noqa: N802
|
|
if self.path != "/status":
|
|
self.send_json(HTTPStatus.NOT_FOUND, {"error": "not found"})
|
|
return
|
|
primary_ready = _reachable(XTTS_URL, "/languages")
|
|
fallback_ready = _reachable(PIPER_URL, "/status")
|
|
with STATE_LOCK:
|
|
state = dict(STATE)
|
|
self.send_json(
|
|
HTTPStatus.OK if fallback_ready else HTTPStatus.SERVICE_UNAVAILABLE,
|
|
{
|
|
"ready": fallback_ready,
|
|
"engine": "xtts-v2-with-piper-fallback",
|
|
"model": "xtts-v2",
|
|
"voices": [VOICE_ALIAS],
|
|
"speaker": XTTS_SPEAKER,
|
|
"primary_ready": primary_ready,
|
|
"fallback_ready": fallback_ready,
|
|
**state,
|
|
},
|
|
)
|
|
|
|
def do_POST(self) -> None: # noqa: N802
|
|
if self.path != "/tts":
|
|
self.send_json(HTTPStatus.NOT_FOUND, {"error": "not found"})
|
|
return
|
|
try:
|
|
length = int(self.headers.get("Content-Length", "0"))
|
|
except ValueError:
|
|
length = 0
|
|
if length <= 0 or length > MAX_REQUEST_BYTES:
|
|
self.send_json(HTTPStatus.REQUEST_ENTITY_TOO_LARGE,
|
|
{"error": "invalid request size"})
|
|
return
|
|
try:
|
|
request = json.loads(self.rfile.read(length))
|
|
text = request.get("text", "")
|
|
voice = request.get("voice", VOICE_ALIAS)
|
|
output_format = request.get("format", "mp3")
|
|
speed = float(request.get("speed", 1.0))
|
|
except (json.JSONDecodeError, TypeError, ValueError):
|
|
self.send_json(HTTPStatus.BAD_REQUEST, {"error": "invalid JSON request"})
|
|
return
|
|
if not isinstance(text, str) or not text.strip() or len(text) > MAX_TEXT_CHARS:
|
|
self.send_json(HTTPStatus.BAD_REQUEST, {"error": "invalid text"})
|
|
return
|
|
if voice != VOICE_ALIAS:
|
|
self.send_json(HTTPStatus.BAD_REQUEST, {"error": "unknown voice"})
|
|
return
|
|
if output_format not in {"wav", "mp3"}:
|
|
self.send_json(HTTPStatus.BAD_REQUEST, {"error": "unsupported format"})
|
|
return
|
|
if not 0.5 <= speed <= 2.0:
|
|
self.send_json(HTTPStatus.BAD_REQUEST, {"error": "invalid speed"})
|
|
return
|
|
started = time.monotonic()
|
|
try:
|
|
audio, content_type = synthesize(text.strip(), output_format, speed)
|
|
except Exception as exc:
|
|
with STATE_LOCK:
|
|
STATE["last_error"] = type(exc).__name__
|
|
self.send_json(HTTPStatus.SERVICE_UNAVAILABLE,
|
|
{"error": "all local speech backends failed"})
|
|
return
|
|
print(f"tts-gateway: synthesized via {STATE['last_backend']} in "
|
|
f"{time.monotonic() - started:.2f}s")
|
|
self.send_bytes(HTTPStatus.OK, audio, content_type)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
print(f"TTS gateway ready on {HOST}:{PORT}; primary={XTTS_SPEAKER}; fallback=Piper")
|
|
ThreadingHTTPServer((HOST, PORT), Handler).serve_forever()
|