Initial commit: Børnetime app scaffold

FastAPI + Celery + Svelte app for English→Danish video translation
with voice cloning. Includes diarization, STT, translation, TTS,
and audio mixing pipeline.

backend/app/services/translator.py

@@ -0,0 +1,60 @@
+import logging
+from ..config import settings
+
+logger = logging.getLogger(__name__)
+
+_llm = None
+
+
+def _load_model():
+    global _llm
+    if _llm is not None:
+        return
+
+    from llama_cpp import Llama
+
+    logger.info("Loading TranslateGemma 12B from %s", settings.translate_model_path)
+    _llm = Llama(
+        model_path=settings.translate_model_path,
+        n_gpu_layers=settings.translate_n_gpu_layers,
+        n_ctx=2048,
+        verbose=False,
+    )
+
+
+def translate(text: str) -> str:
+    _load_model()
+
+    if not text.strip():
+        return ""
+
+    lines = [
+        "Translate the following English text to Danish.",
+        "Preserve the original meaning, tone, and style.",
+        "Output only the Danish translation, nothing else.",
+        "",
+        f"English: {text}",
+        "",
+        "Danish:",
+    ]
+    prompt = "\n".join(lines)
+
+    stop_tokens = ["\n\n", "English:", "User:"]
+    output = _llm(
+        prompt,
+        max_tokens=1024,
+        temperature=0.1,
+        stop=stop_tokens,
+        echo=False,
+    )
+
+    result = output["choices"][0]["text"].strip()
+    return result
+
+
+def unload_model():
+    global _llm
+    _llm = None
+    import torch
+
+    torch.cuda.empty_cache()