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Templated-PPT-Master/runtime/ppt-master/scripts/tts_backends/backend_minimax.py
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6.0 KiB
Python

"""MiniMax T2A backend for narration audio generation."""
from __future__ import annotations
import binascii
import json
import math
import os
from pathlib import Path
from tts_backends.backend_common import (
extension_from_format,
get_bytes,
post_json,
publish_audio_bytes,
publish_audio_subtitle,
read_api_key,
)
from tts_backends.backend_edge import (
DEFAULT_SUBTITLE_MAX_CHARS,
format_word_timed_srt,
)
DEFAULT_ENDPOINT = "https://api.minimaxi.com/v1/t2a_v2"
DEFAULT_MODEL = "speech-2.8-hd"
_TICKS_PER_MILLISECOND = 10_000
# International fallback: set MINIMAX_TTS_BASE_URL=https://api.minimax.io if needed.
def output_extension(audio_format: str) -> str:
return extension_from_format(audio_format)
def read_minimax_api_key(env_name: str) -> str:
return read_api_key(env_name, label="MiniMax")
def resolve_url(base_url: str | None = None) -> str:
base = (base_url or os.environ.get("MINIMAX_TTS_BASE_URL") or DEFAULT_ENDPOINT).rstrip("/")
if base.endswith("/t2a_v2"):
return base
if base.endswith("/v1"):
return base + "/t2a_v2"
return base + "/v1/t2a_v2"
def _ticks(value: object, *, field: str) -> int:
if isinstance(value, bool):
raise RuntimeError(f"MiniMax subtitle {field} is not numeric")
try:
numeric = float(value)
except (TypeError, ValueError) as exc:
raise RuntimeError(f"MiniMax subtitle {field} is not numeric") from exc
if not math.isfinite(numeric):
raise RuntimeError(f"MiniMax subtitle {field} is not finite")
return int(round(numeric * _TICKS_PER_MILLISECOND))
def _word_boundaries(raw: object) -> list[dict]:
if not isinstance(raw, list) or not raw:
raise RuntimeError("MiniMax subtitle response contains no sentence blocks")
boundaries: list[dict] = []
for sentence in raw:
if not isinstance(sentence, dict):
raise RuntimeError("MiniMax subtitle sentence block is not an object")
words = sentence.get("timestamped_words")
if not isinstance(words, list) or not words:
raise RuntimeError("MiniMax subtitle sentence block contains no word timings")
for item in words:
if not isinstance(item, dict):
raise RuntimeError("MiniMax subtitle word timing is not an object")
word = item.get("word")
if not isinstance(word, str) or not word:
raise RuntimeError("MiniMax subtitle word timing contains no text")
start = _ticks(item.get("time_begin"), field="start time")
end = _ticks(item.get("time_end"), field="end time")
if start < 0 or end <= start:
raise RuntimeError(
"MiniMax subtitle response contains an invalid word interval"
)
if boundaries and start < boundaries[-1]["offset"]:
raise RuntimeError("MiniMax subtitle words are not in chronological order")
boundaries.append(
{
"text": word,
"offset": start,
"duration": end - start,
}
)
return boundaries
def _download_subtitle(
url: str,
text: str,
max_chars: int,
) -> str:
try:
raw = json.loads(get_bytes(url).decode("utf-8-sig"))
except (UnicodeError, json.JSONDecodeError) as exc:
raise RuntimeError("MiniMax subtitle response is not valid UTF-8 JSON") from exc
return format_word_timed_srt(
text,
_word_boundaries(raw),
max_chars,
provider_label="MiniMax",
)
def generate(
text: str,
output_path: Path,
*,
api_key: str,
voice_id: str,
model: str,
audio_format: str,
sample_rate: int,
bitrate: int,
channel: int,
speed: float,
volume: float,
pitch: int,
language_boost: str,
base_url: str | None,
subtitle_path: Path | None = None,
subtitle_max_chars: int = DEFAULT_SUBTITLE_MAX_CHARS,
) -> None:
payload = {
"model": model,
"text": text,
"stream": False,
"language_boost": language_boost,
"output_format": "hex",
"voice_setting": {
"voice_id": voice_id,
"speed": speed,
"vol": volume,
"pitch": pitch,
},
"audio_setting": {
"sample_rate": sample_rate,
"bitrate": bitrate,
"format": audio_format,
"channel": channel,
},
}
if subtitle_path is not None:
payload["subtitle_enable"] = True
payload["subtitle_type"] = "word"
data = post_json(
resolve_url(base_url),
headers={"Authorization": f"Bearer {api_key}"},
payload=payload,
timeout=180,
)
base_resp = data.get("base_resp") or {}
if base_resp.get("status_code") not in (None, 0, "0"):
raise RuntimeError(f"MiniMax TTS failed: {data}")
response_data = data.get("data") or {}
audio_hex = response_data.get("audio")
if not audio_hex:
raise RuntimeError(f"MiniMax response missing audio data: {data}")
try:
audio = binascii.unhexlify(audio_hex)
except (binascii.Error, ValueError) as exc:
raise RuntimeError("MiniMax response audio is not valid hex data") from exc
if subtitle_path is None:
publish_audio_bytes(audio, output_path)
return
subtitle_url = response_data.get("subtitle_file")
if not isinstance(subtitle_url, str) or not subtitle_url.strip():
trace_id = data.get("trace_id") or "unknown"
raise RuntimeError(
f"MiniMax response missing subtitle file (trace_id={trace_id})"
)
subtitle = _download_subtitle(
subtitle_url,
text,
subtitle_max_chars,
)
publish_audio_subtitle(audio, output_path, subtitle, subtitle_path)
def print_voices() -> None:
print("MiniMax TTS voices are selected by voice_id.")
print("Use a system voice ID or a cloned voice_id from MiniMax Voice Clone.")
print("Example domestic system voice from MiniMax docs: male-qn-qingse")