mvp

coquitts/Dockerfile

@@ -8,6 +8,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 	build-essential \
 	git \
 	wget \
+	espeak-ng \
+	espeak-ng-data \
  && rm -rf /var/lib/apt/lists/*
 
 COPY requirements.txt ./

coquitts/requirements.txt

@@ -1,5 +1,5 @@
 fastapi==0.100.0
 uvicorn[standard]==0.22.0
-TTS>=0.12.0
+coqui-tts==0.27.2
 soundfile==0.12.1
 numpy==1.26.0

coquitts/server.py

@@ -1,18 +1,35 @@
-from fastapi import FastAPI, HTTPException
-from fastapi import Body
+from fastapi import FastAPI, HTTPException, Body, BackgroundTasks
 from fastapi.responses import FileResponse, JSONResponse
 from TTS.api import TTS
 import tempfile
 import os
+import logging
 
 app = FastAPI()
 
-# Load a German-capable model. Model may be downloaded on first run.
-tts = TTS(model_name="tts_models/de/thorsten_hsmm")
+# Load TTS model at startup with a valid 4-part model name
+model_name = os.environ.get("TTS_MODEL", "tts_models/de/thorsten/tacotron2-DDC")
+try:
+    tts = TTS(model_name=model_name)
+    logging.info(f"Successfully loaded TTS model: {model_name}")
+except Exception as exc:
+    logging.exception("Failed to load TTS model '%s'", model_name)
+    raise RuntimeError(
+        f"Failed to load TTS model '{model_name}': {exc}.\n"
+        "Set the environment variable TTS_MODEL to a valid model id in the format 'tts_models/<lang>/<dataset>/<model>' "
+        "or install the model manually."
+    ) from exc
+
+
+def _cleanup_file(path: str) -> None:
+    try:
+        os.remove(path)
+    except Exception:
+        logging.exception("Failed to remove temporary file %s", path)
 
 
 @app.post("/speak")
-def speak(payload: dict = Body(...)):
+def speak(payload: dict = Body(...), background_tasks: BackgroundTasks = None):
     text = payload.get("text")
     language = payload.get("language", "de")
     if not text:
@@ -21,8 +38,18 @@ def speak(payload: dict = Body(...)):
     fd, path = tempfile.mkstemp(suffix=".wav")
     os.close(fd)
     try:
-        tts.tts_to_file(text=text, speaker=None, language=language, file_path=path)
+        # Check if the model is multilingual before passing language parameter
+        if hasattr(tts, 'is_multi_lingual') and tts.is_multi_lingual:
+            tts.tts_to_file(text=text, speaker=None, language=language, file_path=path)
+        else:
+            # For non-multilingual models, don't pass the language parameter
+            tts.tts_to_file(text=text, speaker=None, file_path=path)
+        # schedule cleanup after response has been sent
+        if background_tasks is not None:
+            background_tasks.add_task(_cleanup_file, path)
         return FileResponse(path, media_type="audio/wav", filename="response.wav")
-    finally:
-        # FileResponse will stream the file; don't remove immediately. Consumer can manage cleanup.
-        pass
+    except Exception:
+        logging.exception("TTS generation failed")
+        # try to remove file immediately on failure
+        _cleanup_file(path)
+        raise HTTPException(status_code=500, detail="TTS generation failed")