feat: add script tts backend

backend-single/tts-service/README.md

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+# Emotion Museum TTS Service
+
+Install on `101.200.208.45`:
+
+```bash
+cd /data/programs/emotion-museum/tts-service
+python3 -m venv .venv
+. .venv/bin/activate
+pip install -r requirements.txt
+
+git clone https://github.com/myshell-ai/MeloTTS.git /data/programs/MeloTTS
+cd /data/programs/MeloTTS
+/data/programs/emotion-museum/tts-service/.venv/bin/pip install -e .
+/data/programs/emotion-museum/tts-service/.venv/bin/python -m unidic download
+
+cd /data/programs/emotion-museum/tts-service
+uvicorn app:app --host 127.0.0.1 --port 19110
+curl http://127.0.0.1:19110/health
+```

backend-single/tts-service/app.py

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+from pathlib import Path
+from threading import Lock
+
+from fastapi import FastAPI
+from pydantic import BaseModel, Field
+
+app = FastAPI(title="Emotion Museum TTS")
+
+_model = None
+_speaker_ids = None
+_model_lock = Lock()
+
+
+class SynthesizeRequest(BaseModel):
+    text: str = Field(min_length=1, max_length=5000)
+    voice: str = "default_zh_female"
+    outputPath: str
+
+
+def get_model():
+    global _model, _speaker_ids
+    with _model_lock:
+        if _model is None:
+            from melo.api import TTS
+
+            _model = TTS(language="ZH", device="cpu")
+            _speaker_ids = _model.hps.data.spk2id
+        return _model, _speaker_ids
+
+
+@app.get("/health")
+def health():
+    return {"status": "ok"}
+
+
+@app.post("/synthesize")
+def synthesize(request: SynthesizeRequest):
+    output = Path(request.outputPath)
+    output.parent.mkdir(parents=True, exist_ok=True)
+
+    try:
+        model, speaker_ids = get_model()
+        speaker_id = speaker_ids.get("ZH")
+        model.tts_to_file(request.text, speaker_id, str(output), speed=1.0)
+    except Exception as exc:
+        return {
+            "success": False,
+            "audioPath": None,
+            "durationMs": None,
+            "engine": "melotts",
+            "errorMessage": str(exc),
+        }
+
+    return {
+        "success": True,
+        "audioPath": str(output),
+        "durationMs": None,
+        "engine": "melotts",
+    }

backend-single/tts-service/emotion-museum-tts.service

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+[Unit]
+Description=Emotion Museum TTS Service
+After=network.target
+
+[Service]
+Type=simple
+WorkingDirectory=/data/programs/emotion-museum/tts-service
+ExecStart=/data/programs/emotion-museum/tts-service/.venv/bin/uvicorn app:app --host 127.0.0.1 --port 19110
+Restart=always
+RestartSec=5
+
+[Install]
+WantedBy=multi-user.target

backend-single/tts-service/requirements.txt

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+fastapi==0.111.0
+uvicorn[standard]==0.30.1
+pydantic==2.7.4