peanut
ee5a6aba5d
- 后端：新增社交数据导入/审批/洞察生成 API（SocialContent/SocialInsight） - 后端：优化脚本上下文服务，TTS 服务增强 - 小程序：重构脚本首页布局，新增社交导入页面 - 小程序：新增 useTtsPlayer composable，移除旧 ScriptAudioPlayer 组件 - 小程序：新增社交导入服务，优化请求服务 - SQL：新增社交数据导入建表脚本 - 文档：补充设计文档和实施计划 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
74 lines
1.9 KiB
Python
74 lines
1.9 KiB
Python
import subprocess
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from pathlib import Path
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from fastapi import FastAPI
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from pydantic import BaseModel, Field
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app = FastAPI(title="Emotion Museum TTS")
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BASE_DIR = Path(__file__).resolve().parent
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PIPER_BIN = BASE_DIR / ".venv" / "bin" / "piper"
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PIPER_MODEL = BASE_DIR / "models" / "zh_CN-huayan-medium.onnx"
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PIPER_CONFIG = BASE_DIR / "models" / "zh_CN-huayan-medium.onnx.json"
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class SynthesizeRequest(BaseModel):
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text: str = Field(min_length=1, max_length=5000)
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voice: str = "default_zh_female"
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outputPath: str
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@app.get("/health")
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def health():
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return {
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"status": "ok",
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"engine": "piper",
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"modelReady": PIPER_MODEL.exists() and PIPER_CONFIG.exists(),
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}
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@app.post("/synthesize")
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def synthesize(request: SynthesizeRequest):
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output = Path(request.outputPath)
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output.parent.mkdir(parents=True, exist_ok=True)
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try:
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if not PIPER_BIN.exists():
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raise RuntimeError(f"piper binary not found: {PIPER_BIN}")
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if not PIPER_MODEL.exists() or not PIPER_CONFIG.exists():
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raise RuntimeError("piper Chinese voice model is not installed")
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subprocess.run(
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[
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str(PIPER_BIN),
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"--model",
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str(PIPER_MODEL),
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"--config",
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str(PIPER_CONFIG),
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"--output_file",
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str(output),
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"--sentence-silence",
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"0.35",
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],
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input=request.text,
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text=True,
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check=True,
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capture_output=True,
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timeout=180,
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)
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except Exception as exc:
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return {
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"success": False,
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"audioPath": None,
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"durationMs": None,
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"engine": "piper",
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"errorMessage": str(exc),
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}
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return {
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"success": True,
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"audioPath": str(output),
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"durationMs": None,
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"engine": "piper",
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}
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